KNOWLEDGE ROUTER: Learning Disentangled Representations for Knowledge Graphs
Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors
- 论文链接：https://aclanthology.org/2021.naacl-main.2.pdf
- 代码链接：https://github.com/fenchri/dsre-vae
Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networks
Abstract Meaning Representation Guided Graph Encoding and Decoding for Joint Information Extraction
- 论文链接：https://aclanthology.org/2021.naacl-main.4.pdf
- 代码链接：https://github.com/zhangzx-uiuc/AMR-IE
A Frustratingly Easy Approach for Entity and Relation Extraction
- 论文链接：https://aclanthology.org/2021.naacl-main.5.pdf
- 代码链接：https://github.com/princeton-nlp/PURE
Event Time Extraction and Propagation via Graph Attention Networks
- 论文链接：https://aclanthology.org/2021.naacl-main.6.pdf
- 代码链接：https://github.com/wenhycs/NAACL2021-Event-Time-Extraction-and-Propagation-via-Graph-Attention-Networks
Probing Word Translations in the Transformer and Trading Decoder for Encoder Layers
Mediators in Determining what Processing BERT Performs First
- 论文链接：https://aclanthology.org/2021.naacl-main.8.pdf
- 代码链接：https://github.com/lovodkin93/BERT-context-distance
Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA
- 论文链接：https://aclanthology.org/2021.naacl-main.9.pdf
- 代码链接：https://github.com/yonatanbitton/AutoGenOfContrastSetsFromSceneGraphs
Multilingual Language Models Predict Human Reading Behavior
- 论文链接：https://aclanthology.org/2021.naacl-main.10.pdf
- 代码链接：https://github.com/DS3Lab/multilingual-gaze
Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing
- 论文链接：https://aclanthology.org/2021.naacl-main.11.pdf
- 代码链接：https://github.com/rowanhm/jabberwocky-probing
A Non-Linear Structural Probe
Concealed Data Poisoning Attacks on NLP Models
Backtranslation Feedback Improves User Confidence in MT, Not Quality
Data Filtering using Cross-Lingual Word Embeddings
Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation
- 论文链接：https://aclanthology.org/2021.naacl-main.16.pdf
- 代码链接：https://github.com/alexandra-chron/lexical_xlm_relm
Neural Machine Translation without Embeddings
- 论文链接：https://aclanthology.org/2021.naacl-main.17.pdf
- 代码链接：https://github.com/UriSha/EmbeddinglessNMT
Counterfactual Data Augmentation for Neural Machine Translation
Cultural and Geographical Influences on Image Translatability of Words across Languages
Multilingual BERT Post-Pretraining Alignment
A Million Tweets Are Worth a Few Points: Tuning Transformers for Customer Service Tasks
- 论文链接：https://aclanthology.org/2021.naacl-main.21.pdf
- 代码链接：https://github.com/hadifar/customerservicetasks
Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases
- 论文链接：https://aclanthology.org/2021.naacl-main.22.pdf
- 代码链接：https://huggingface.co/datasets/ecthr_cases
Answering Product-Questions by Utilizing Questions from Other Contextually Similar Products
EnSidNet: Enhanced Hybrid Siamese-Deep Network for grouping clinical trials into drugdevelopment pathways
DATE: Detecting Anomalies in Text via Self-Supervision of Transformers
- 论文链接：https://aclanthology.org/2021.naacl-main.25.pdf
- 代码链接：https://github.com/bit-ml/date
A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code
- 论文链接：https://aclanthology.org/2021.naacl-main.26.pdf
- 代码链接：https://github.com/bayesgroup/code_transformers
Fast and Scalable Dialogue State Tracking with Explicit Modular Decomposition
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks
SMBOP: Semi-autoregressive Bottom-up Semantic Parsing
- 论文链接：https://aclanthology.org/2021.naacl-main.29.pdf
- 代码链接：https://github.com/OhadRubin/SmBop
SGL: Speaking the Graph Languages of Semantic Parsing via Multilingual Translation
- 论文链接：https://aclanthology.org/2021.naacl-main.30.pdf
- 代码链接：https://github.com/SapienzaNLP/sgl
Unifying Cross-Lingual Semantic Role Labeling with Heterogeneous Linguistic Resources
- 论文链接：https://aclanthology.org/2021.naacl-main.31.pdf
- 代码链接：https://github.com/SapienzaNLP/unify-srl
Fool Me Twice: Entailment from Wikipedia Gamification
- 论文链接：https://aclanthology.org/2021.naacl-main.32.pdf
- 代码链接：https://github.com/google-research/fool-me-twice
Meta-Learning for Domain Generalization in Semantic Parsing
- 论文链接：https://aclanthology.org/2021.naacl-main.33.pdf
- 代码链接：https://github.com/berlino/tensor2struct-public
Aspect-Controlled Neural Argument Generation
- 论文链接：https://aclanthology.org/2021.naacl-main.34.pdf
- 代码链接：https://github.com/UKPLab/controlled-argument-generation
Text Generation from Discourse Representation Structures
- 论文链接：https://aclanthology.org/2021.naacl-main.35.pdf
- 代码链接：https://github.com/LeonCrashCode/Discourse-Representation-Tree-Structure/tree/main/gmb/DRS-to-text
APo-VAE: Text Generation in Hyperbolic Space
DART: Open-Domain Structured Data Record to Text Generation
- 论文链接：https://aclanthology.org/2021.naacl-main.37.pdf
- 代码链接：https://github.com/Yale-LILY/dart
When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models
- 论文链接：https://aclanthology.org/2021.naacl-main.38.pdf
- 代码链接：https://github.com/benjamin-mlr/mbert-unseen-languages.git
Multi-Adversarial Learning for Cross-Lingual Word Embeddings
Multi-view Subword Regularization
- 论文链接：https://aclanthology.org/2021.naacl-main.40.pdf
- 代码链接：https://github.com/cindyxinyiwang/multiview-subword-regularization
mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning
Open Domain Question Answering over Tables via Dense Retrieval
- 论文链接：https://aclanthology.org/2021.naacl-main.43.pdf
- 代码链接：https://github.com/google-research/tapas
Open-Domain Question Answering Goes Conversational via Question Rewriting
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
- 论文链接：https://aclanthology.org/2021.naacl-main.45.pdf
- 代码链接：https://github.com/michiyasunaga/qagnn
XOR QA: Cross-lingual Open-Retrieval Question Answering
SPARTA: Efficient Open-Domain Question Answering via Sparse Transformer Matching Retrieval
Implicitly Abusive Language – What does it actually look like and why are we not getting there?
The Importance of Modeling Social Factors of Language: Theory and Practice
On learning and representing social meaning in NLP: a sociolinguistic perspective
Preregistering NLP research
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence
- 论文链接：https://aclanthology.org/2021.naacl-main.52.pdf
- 代码链接：https://github.com/TalSchuster/VitaminC
Representing Numbers in NLP: a Survey and a Vision
Extending Multi-Document Summarization Evaluation to the Interactive Setting
- 论文链接：https://aclanthology.org/2021.naacl-main.54.pdf
- 代码链接：https://github.com/OriShapira/InterExp
Identifying Helpful Sentences in Product Reviews
Noisy Self-Knowledge Distillation for Text Summarization
- 论文链接：https://aclanthology.org/2021.naacl-main.56.pdf
- 代码链接：https://github.com/nlpyang/NoisySumm
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation
Enhancing Factual Consistency of Abstractive Summarization
- 论文链接：https://aclanthology.org/2021.naacl-main.58.pdf
- 代码链接：https://github.com/zcgzcgzcg1/FASum/
Few-shot Intent Classification and Slot Filling with Retrieved Examples
“Nice Try, Kiddo”: Investigating Ad Hominems in Dialogue Responses
- 论文链接：https://aclanthology.org/2021.naacl-main.60.pdf
- 代码链接：https://github.com/ewsheng/ad-hom-in-dialogue
Human-like informative conversations: Better acknowledgements using conditional mutual information
- 论文链接：https://aclanthology.org/2021.naacl-main.61.pdf
- 代码链接：https://github.com/AshwinParanjape/human-like-informative-conversations
A Comparative Study on Schema-Guided Dialogue State Tracking
Spoken Language Understanding for Task-oriented Dialogue Systems with Augmented Memory Networks
How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds
Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas
Self-Training with Weak Supervision
- 论文链接：https://aclanthology.org/2021.naacl-main.66.pdf
- 代码链接：https://github.com/microsoft/ASTRA
Neural Language Modeling for Contextualized Temporal Graph Generation
- 论文链接：https://aclanthology.org/2021.naacl-main.67.pdf
- 代码链接：https://github.com/madaan/temporal-graph-gen
Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning
- 论文链接：https://aclanthology.org/2021.naacl-main.68.pdf
- 代码链接：？
Document-Level Event Argument Extraction by Conditional Generation
- 论文链接：https://aclanthology.org/2021.naacl-main.69.pdf
- 代码链接：https://github.com/raspberryice/gen-arg
Template Filling with Generative Transformers
- 论文链接：https://aclanthology.org/2021.naacl-main.70.pdf
- 代码链接：https://github.com/xinyadu/gtt
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU Models
On Attention Redundancy: A Comprehensive Study
Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?
- 论文链接：https://aclanthology.org/2021.naacl-main.73.pdf
- 代码链接：https://github.com/elehman16/exposing_patient_data_release
Low-Complexity Probing via Finding Subnetworks
- 论文链接：https://aclanthology.org/2021.naacl-main.74.pdf
- 代码链接：https://github.com/stevenxcao/subnetwork-probing
An Empirical Comparison of Instance Attribution Methods for NLP
- 论文链接：https://aclanthology.org/2021.naacl-main.75.pdf
- 代码链接：https://github.com/successar/instance_attributions_NLP
Generalization in Instruction Following Systems
- 论文链接：https://aclanthology.org/2021.naacl-main.76.pdf
- 代码链接：http://cogcomp.org/page/publication_view/936
LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval
- 论文链接：https://aclanthology.org/2021.naacl-main.77.pdf
- 代码链接：https://github.com/intersun/LightningDOT
Measuring Social Biases in Grounded Vision and Language Embeddings
MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences
- 论文链接：https://aclanthology.org/2021.naacl-main.79.pdf
- 代码链接：https://github.com/jedyang97/MTAG
Grounding Open-Domain Instructions to Automate Web Support Tasks
- 论文链接：https://aclanthology.org/2021.naacl-main.80.pdf
- 代码链接：https://github.com/xnancy/russ
Modular Networks for Compositional Instruction Following
Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information
- 论文链接：https://aclanthology.org/2021.naacl-main.82.pdf
- 代码链接：https://github.com/jialuli-luka/SyntaxVLN
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning
- 论文链接：https://aclanthology.org/2021.naacl-main.83.pdf
- 代码链接：https://github.com/layneins/Zero-shot-RLHR
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
- 论文链接：https://aclanthology.org/2021.naacl-main.84.pdf
- 代码链接：https://github.com/yueyu1030/COSINE
Posterior Differential Regularization with f-divergence for Improving Model Robustness
- 论文链接：https://aclanthology.org/2021.naacl-main.85.pdf
- 代码链接：https://github.com/hao-cheng/f-divergence
Understanding Hard Negatives in Noise Contrastive Estimation
- 论文链接：https://aclanthology.org/2021.naacl-main.86.pdf
- 代码链接：https://github.com/WenzhengZhang/hard-nce-el
Certified Robustness to Word Substitution Attack with Differential Privacy
DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference
- 论文链接：https://aclanthology.org/2021.naacl-main.88.pdf
- 代码链接：https://github.com/MurtyShikhar/DReCA
Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages
Macro-Average: Rare Types Are Important Too
- 论文链接：https://aclanthology.org/2021.naacl-main.90.pdf
- 代码链接：https://github.com/thammegowda/007-mt-eval-macro
Assessing Reference-Free Peer Evaluation for Machine Translation
The Curious Case of Hallucinations in Neural Machine Translation
- 论文链接：https://aclanthology.org/2021.naacl-main.92.pdf
- 代码链接：https://github.com/vyraun/hallucinations
Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution
Towards Modeling the Style of Translators in Neural Machine Translation
Self-Supervised Test-Time Learning for Reading Comprehension
Capturing Row and Column Semantics in Transformer Based Question Answering over Tables
- 论文链接：https://aclanthology.org/2021.naacl-main.96.pdf
- 代码链接：https://github.com/IBM/row-column-intersection
Explainable Multi-hop Verbal Reasoning Through Internal Monologue
- 论文链接：https://aclanthology.org/2021.naacl-main.97.pdf
- 代码链接：https://github.com/clulab/releases/tree/master/naacl2021-evr
Robust Question Answering Through Sub-part Alignment
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models
RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering
On the Transferability of Minimal Prediction Preserving Inputs in Question Answering
Understanding by Understanding Not: Modeling Negation in Language Models
DuoRAT: Towards Simpler Text-to-SQL Models
- 论文链接：https://aclanthology.org/2021.naacl-main.103.pdf
- 代码链接：https://github.com/ElementAI/duorat
Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization
- 论文链接：https://aclanthology.org/2021.naacl-main.104.pdf
- 代码链接：https://github.com/nli-for-qa/transformers-nli
Structure-Grounded Pretraining for Text-to-SQL
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System
- 论文链接：https://aclanthology.org/2021.naacl-main.106.pdf
- 代码链接：https://github.com/congyingxia/IncrementalFSTC
Temporal Reasoning on Implicit Events from Distant Supervision
Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models
- 论文链接：https://aclanthology.org/2021.naacl-main.108.pdf
- 代码链接：https://github.com/uclanlp/ParaBART
Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs
- 论文链接：https://aclanthology.org/2021.naacl-main.109.pdf
- 代码链接：https://github.com/GT-SALT/Structure-Aware-BART
A New Approach to Overgenerating and Scoring Abstractive Summaries
- 论文链接：https://aclanthology.org/2021.naacl-main.110.pdf
- 代码链接：https://github.com/ucfnlp/varying-length-summ
D2S: Document-to-Slide Generation Via Query-Based Text Summarization
Efficient Attentions for Long Document Summarization
- 论文链接：https://aclanthology.org/2021.naacl-main.112.pdf
- 代码链接：https://github.com/luyang-huang96/LongDocSum
RefSum: Refactoring Neural Summarization
- 论文链接：https://aclanthology.org/2021.naacl-main.113.pdf
- 代码链接：https://github.com/yixinL7/Refactoring-Summarization
Annotating and Modeling Fine-grained Factuality in Summarization
- 论文链接：https://aclanthology.org/2021.naacl-main.114.pdf
- 代码链接：https://github.com/tagoyal/factuality-datasets
Larger-Context Tagging: When and Why Does It Work?
Neural Sequence Segmentation as Determining the Leftmost Segments
- 论文链接：https://aclanthology.org/2021.naacl-main.116.pdf
- 代码链接：https://github.com/LeePleased/LeftmostSeg
PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols
- 论文链接：https://aclanthology.org/2021.naacl-main.117.pdf
- 代码链接：https://github.com/sustcsonglin/TN-PCFG
GEMNET: Effective Gated Gazetteer Representations for Recognizing Complex Entities in Low-context Input
- 论文链接：https://aclanthology.org/2021.naacl-main.118.pdf
- 代码链接：https://registry.opendata.aws/lowcontext-ner-gaz
Video-aided Unsupervised Grammar Induction
- 论文链接：https://aclanthology.org/2021.naacl-main.119.pdf
- 代码链接：https://github.com/Sy-Zhang/MMC-PCFG
Generating Negative Samples by Manipulating Golden Responses for Unsupervised Learning of a Response Evaluation Model
- 论文链接：https://aclanthology.org/2021.naacl-main.120.pdf
- 代码链接：https://github.com/nlpcl-lab/dialog-eval-hard-negative
How Robust are Fact Checking Systems on Colloquial Claims?
Fine-grained Post-training for Improving Retrieval-based Dialogue Systems
- 论文链接：https://aclanthology.org/2021.naacl-main.122.pdf
- 代码链接：https://github.com/hanjanghoon/BERT_FP
Put Chatbot into Its Interlocutor’s Shoes: New Framework to Learn Chatbot Responding with Intention
Adding Chit-Chat to Enhance Task-Oriented Dialogues
- 论文链接：https://aclanthology.org/2021.naacl-main.124.pdf
- 代码链接：https://github.com/facebookresearch/accentor
Incorporating Syntax and Semantics in Coreference Resolution with Heterogeneous Graph Attention Network
- 论文链接：https://aclanthology.org/2021.naacl-main.125.pdf
- 代码链接：https://github.com/Fantabulous-J/coref-HGAT
Context Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition
- 论文链接：https://aclanthology.org/2021.naacl-main.126.pdf
- 代码链接：https://github.com/yxuezhang/CTNet
Improving Neural RST Parsing Model with Silver Agreement Subtrees
- 论文链接：https://aclanthology.org/2021.naacl-main.127.pdf
- 代码链接：https://github.com/PKU-TANGENT/NeuralEDUSeg
RST Parsing from Scratch
- 论文链接：https://aclanthology.org/2021.naacl-main.128.pdf
- 代码链接：https://ntunlpsg.github.io/project/rst-parser
Did they answer? Subjective acts and intents in conversational discourse
- 论文链接：https://aclanthology.org/2021.naacl-main.129.pdf
- 代码链接：http://github.com/elisaF/subjective_discourse
Evaluating the Impact of a Hierarchical Discourse Representation on Entity Coreference Resolution Performance
Bridging Resolution: Making Sense of the State of the Art
Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle
Revisiting the Weaknesses of Reinforcement Learning for Neural Machine Translation
- 论文链接：https://aclanthology.org/2021.naacl-main.133.pdf
- 代码链接：https://github.com/samuki/reinforce-joey
Learning to Organize a Bag of Words into Sentences with Neural Networks: An Empirical Study
Mask Attention Networks: Rethinking and Strengthen Transformer
ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding
- 论文链接：https://aclanthology.org/2021.naacl-main.136.pdf
- 代码链接：https://github.com/PaddlePaddle/ERNIE
Lattice-BERT: Leveraging Multi-Granularity Representations in Chinese Pre-trained Language Models
- 论文链接：https://aclanthology.org/2021.naacl-main.137.pdf
- 代码链接：https://github.com/alibaba/pretrained-language-models/LatticeBERT
Modeling Event Plausibility with Consistent Conceptual Abstraction
- 论文链接：https://aclanthology.org/2021.naacl-main.138.pdf
- 代码链接：https://github.com/ianporada/modeling_event_plausibility
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus
- 论文链接：https://aclanthology.org/2021.naacl-main.139.pdf
- 代码链接：https://github.com/gmichalo/UmlsBERT
Field Embedding：A Unified Grain-Based Framework for Word Representation
MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories
- 论文链接：https://aclanthology.org/2021.naacl-main.141.pdf
- 代码链接：https://github.com/jin530/MelBERT
Non-Parametric Few-Shot Learning for Word Sense Disambiguation
- 论文链接：https://aclanthology.org/2021.naacl-main.142.pdf
- 代码链接：https://github.com/princeton-nlp/metric-wsd
Why Do Document-Level Polarity Classifiers Fail?
- 论文链接：https://aclanthology.org/2021.naacl-main.143.pdf
- 代码链接：https://github.com/karenstemartins/NAACL2021
A Unified Span-Based Approach for Opinion Mining with Syntactic Constituents
- 论文链接：https://aclanthology.org/2021.naacl-main.144.pdf
- 代码链接：https://github.com/KiroSummer/opinion_mining_with_syn_cons
Target-specified Sequence Labeling with Multi-head Self-attention for Target-oriented Opinion Words Extraction
- 论文链接：https://aclanthology.org/2021.naacl-main.145.pdf
- 代码链接：https://github.com/fengyh3/TSMSA
Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa
- 论文链接：https://aclanthology.org/2021.naacl-main.146.pdf
- 代码链接：https://github.com/ROGERDJQ/RoBERTaABSA
Domain Divergences: A Survey and Empirical Analysis
Target-Aware Data Augmentation for Stance Detection
End-to-end ASR to jointly predict transcriptions and linguistic annotations
Source and Target Bidirectional Knowledge Distillation for End-to-end Speech Translation
Searchable Hidden Intermediates for End-to-End Models of Decomposable Sequence Tasks
- 论文链接：https://aclanthology.org/2021.naacl-main.151.pdf
- 代码链接：https://github.com/espnet/espnet
SPLAT: Speech-Language Joint Pre-Training for Spoken Language Understanding
Worldly Wise (WoW) - Cross-Lingual Knowledge Fusion for Fact-based Visual Spoken-Question Answering
Align-Refine: Non-Autoregressive Speech Recognition via Iterative Realignment
- 论文链接：https://aclanthology.org/2021.naacl-main.154.pdf
- 代码链接：https://github.com/amazon-research/align-refine
Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis
- 论文链接：https://aclanthology.org/2021.naacl-main.155.pdf
- 代码链接：https://github.com/xxxiaol/GCI/
Counterfactual Supporting Facts Extraction for Explainable Medical Record Based Diagnosis with Graph Network
- 论文链接：https://aclanthology.org/2021.naacl-main.156.pdf
- 代码链接：https://github.com/CKRE/CMGE
Personalized Response Generation via Generative Split Memory Network
Towards Few-Shot Fact-Checking via Perplexity
Active2 Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation
- 论文链接：https://aclanthology.org/2021.naacl-main.159.pdf
- 代码链接：https://github.com/parag1604/A2L
Generating An Optimal Interview Question Plan Using A Knowledge Graph And Integer Linear Programming
Model Extraction and Adversarial Transferability, Your BERT is Vulnerable!
- 论文链接：https://aclanthology.org/2021.naacl-main.161.pdf
- 代码链接：https://github.com/xlhex/extract_and_transfer
A Global Past-Future Early Exit Method for Accelerating Inference of Pre-trained Language Models
- 论文链接：https://aclanthology.org/2021.naacl-main.162.pdf
- 代码链接：https://github.com/lancopku/Early-Exit
Masked Conditional Random Fields for Sequence Labeling
- 论文链接：https://aclanthology.org/2021.naacl-main.163.pdf
- 代码链接：https://github.com/DandyQi/MaskedCRF
Heterogeneous Graph Neural Networks for Concept Prerequisite Relation Learning in Educational Data
Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models
- 论文链接：https://aclanthology.org/2021.naacl-main.165.pdf
- 代码链接：https://github.com/lancopku/Embedding-Poisoning
DA-Transformer: Distance-aware Transformer
ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction
- 论文链接：https://aclanthology.org/2021.naacl-main.167.pdf
- 代码链接：https://github.com/Meituan-Dianping/asap
Are NLP Models really able to Solve Simple Math Word Problems?
- 论文链接：https://aclanthology.org/2021.naacl-main.168.pdf
- 代码链接：https://github.com/arkilpatel/SVAMP
WRIME: A New Dataset for Emotional Intensity Estimation with Subjective and Objective Annotations
- 论文链接：https://aclanthology.org/2021.naacl-main.169.pdf
- 代码链接：https://github.com/ids-cv/wrime
KPQA: A Metric for Generative Question Answering Using Keyphrase Weights
- 论文链接：https://aclanthology.org/2021.naacl-main.170.pdf
- 代码链接：https://github.com/hwanheelee1993/KPQA
STYLEPTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer
- 论文链接：https://aclanthology.org/2021.naacl-main.171.pdf
- 代码链接：https://github.com/lvyiwei1/StylePTB/
Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge
- 论文链接：https://aclanthology.org/2021.naacl-main.172.pdf
- 代码链接：https://github.com/JetRunner/dogwhistle
COVID-19 Named Entity Recognition for Vietnamese
- 论文链接：https://aclanthology.org/2021.naacl-main.173.pdf
- 代码链接：https://github.com/VinAIResearch/PhoNER_COVID19
Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames
- 论文链接：https://aclanthology.org/2021.naacl-main.174.pdf
- 代码链接：https://github.com/shinyemimalef/FRISS
Automatic Classification of Neutralization Techniques in the Narrative of Climate Change Scepticism
- 论文链接：https://aclanthology.org/2021.naacl-main.175.pdf
- 代码链接：https://github.com/sb1992/cc-neutralization
Suicide Ideation Detection via Social and Temporal User Representations using Hyperbolic Learning
WikiTalkEdit: A Dataset for modeling Editors’ behaviors on Wikipedia
- 论文链接：https://aclanthology.org/2021.naacl-main.177.pdf
- 代码链接：https://github.com/kj2013/WikiTalkEdit/
The structure of online social networks modulates the rate of lexical change
- 论文链接：https://aclanthology.org/2021.naacl-main.178.pdf
- 代码链接：https://github.com/lingjzhu/reddit_network
Modeling Framing in Immigration Discourse on Social Media
- 论文链接：https://aclanthology.org/2021.naacl-main.179.pdf
- 代码链接：https://github.com/juliamendelsohn/framing
Modeling the Severity of Complaints in Social Media
- 论文链接：https://aclanthology.org/2021.naacl-main.180.pdf
- 代码链接：https://github.com/mali726/Complaint-Severity
What About the Precedent: An Information-Theoretic Analysis of Common Law
- 论文链接：https://aclanthology.org/2021.naacl-main.181.pdf
- 代码链接：https://github.com/valvoda/Precedent.
Introducing CAD: the Contextual Abuse Dataset
- 论文链接：https://aclanthology.org/2021.naacl-main.182.pdf
- 代码链接：https://github.com/dongpng/cad_naacl2021
Lifelong Learning of Hate Speech Classification on Social Media
Learning to Recognize Dialect Features
It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
- 论文链接：https://aclanthology.org/2021.naacl-main.185.pdf
- 代码链接：https://github.com/timoschick/pet
Static Embeddings as Efficient Knowledge Bases?
- 论文链接：https://aclanthology.org/2021.naacl-main.186.pdf
- 代码链接：https://github.com/pdufter/staticlama
Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis
- 论文链接：https://aclanthology.org/2021.naacl-main.187.pdf
- 代码链接：https://github.com/Pzoom522/ProcrustEs-KGE
Rethinking Network Pruning— under the Pre-train and Fine-tune Paradigm
Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers
Detoxifying Language Models Risks Marginalizing Minority Voices
- 论文链接：https://aclanthology.org/2021.naacl-main.190.pdf
- 代码链接：https://github.com/albertkx/detoxifying-lms/
HONEST: Measuring Hurtful Sentence Completion in Language Models
- 论文链接：https://aclanthology.org/2021.naacl-main.191.pdf
- 代码链接：https://github.com/MilaNLProc/honest
EaSe: A Diagnostic Tool for VQA Based on Answer Diversity
DECEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy Minimization
- 论文链接：https://aclanthology.org/2021.naacl-main.193.pdf
- 代码链接：https://github.com/zinengtang/DeCEMBERT
Improving Generation and Evaluation of Visual Stories via Semantic Consistency
- 论文链接：https://aclanthology.org/2021.naacl-main.194.pdf
- 代码链接：https://github.com/adymaharana/StoryViz
Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models
- 论文链接：https://aclanthology.org/2021.naacl-main.195.pdf
- 代码链接：http://github.com/berniebear/Multi-HT100M
Video Question Answering with Phrases via Semantic Roles
- 论文链接：https://aclanthology.org/2021.naacl-main.196.pdf
- 代码链接：https://github.com/TheShadow29/Video-QAP
From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding
WEC: Deriving a Large-scale Cross-document Event Coreference dataset from Wikipedia
- 论文链接：https://aclanthology.org/2021.naacl-main.198.pdf
- 代码链接：WEC–https://github.com/AlonEirew/extract-wec ;Model–https://github.com/AlonEirew/cross-doc-event-coref
Challenging Distributional Models with a Conceptual Network of Philosophical Terms
- 论文链接：https://aclanthology.org/2021.naacl-main.199.pdf
- 代码链接：https://github.com/YOortwijn/Challenging_DMs
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios
Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings
- 论文链接：https://aclanthology.org/2021.naacl-main.202.pdf
- 代码链接：https://github.com/soledad921/ATISE
UDALM: Unsupervised Domain Adaptation through Language Modeling
- 论文链接：https://aclanthology.org/2021.naacl-main.203.pdf
- 代码链接：https://github.com/ckarouzos/slp_daptmlm
Beyond Black & White: Leveraging Annotator Disagreement via Soft-Label Multi-Task Learning
Clustering-based Inference for Biomedical Entity Linking
Variance-reduced First-order Meta-learning for Natural Language Processing Tasks
Diversity-Aware Batch Active Learning for Dependency Parsing
- 论文链接：https://aclanthology.org/2021.naacl-main.207.pdf
- 代码链接：https://github.com/tzshi/dpp-al-parsing-naacl21
How Many Data Points is a Prompt Worth?
- 论文链接：https://aclanthology.org/2021.naacl-main.208.pdf
- 代码链接：https://github.com/TevenLeScao/pet
Can Latent Alignments Improve Autoregressive Machine Translation?
Smoothing and Shrinking the Sparse Seq2Seq Search Space
- 论文链接：https://aclanthology.org/2021.naacl-main.210.pdf
- 代码链接：https://github.com/deep-spin/S7
Unified Pre-training for Program Understanding and Generation
- 论文链接：https://aclanthology.org/2021.naacl-main.211.pdf
- 代码链接：https://github.com/wasiahmad/PLBART
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding
- 论文链接：https://aclanthology.org/2021.naacl-main.212.pdf
- 代码链接：https://github.com/tinghua-code/CCFI
On the Embeddings of Variables in Recurrent Neural Networks for Source Code
- 论文链接：https://aclanthology.org/2021.naacl-main.213.pdf
- 代码链接：https://github.com/nadiinchi/dynamic_embeddings
Cross-Lingual Word Embedding Refinement by `1 Norm Optimisation
- 论文链接：https://aclanthology.org/2021.naacl-main.214.pdf
- 代码链接：https://github.com/Pzoom522/L1-Refinement
Semantic Frame Forecast
- 论文链接：https://aclanthology.org/2021.naacl-main.215.pdf
- 代码链接：https://github.com/appleternity/FrameForecasting
MUSER: MUltimodal Stress Detection using Emotion Recognition as an Auxiliary Task
- 论文链接：https://aclanthology.org/2021.naacl-main.216.pdf
- 代码链接：https://lit.eecs.umich.edu/downloads.html#MUSER
Learning to Decompose and Organize Complex Tasks
Continual Learning for Text Classification with Information Disentanglement Based Regularization
- 论文链接：https://aclanthology.org/2021.naacl-main.218.pdf
- 代码链接：https://github.com/GT-SALT/IDBR
Learning from Executions for Semantic Parsing
- 论文链接：https://aclanthology.org/2021.naacl-main.219.pdf
- 代码链接：https://github.com/berlino/tensor2struct-public
Learning to Synthesize Data for Semantic Parsing
- 论文链接：https://aclanthology.org/2021.naacl-main.220.pdf
- 代码链接：https://github.com/berlino/tensor2struct-public
EDGE: Enriching Knowledge Graph Embeddings with External Text
FLIN: A Flexible Natural Language Interface for Web Navigation
- 论文链接：https://aclanthology.org/2021.naacl-main.222.pdf
- 代码链接：https://github.com/microsoft/flin-nl2web
Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index
Incorporating External Knowledge to Enhance Tabular Reasoning
- 论文链接：https://aclanthology.org/2021.naacl-main.224.pdf
- 代码链接：https://github.com/utahnlp/knowledge_infotabs
Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention
Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from Contextualized Word Embedding
- 论文链接：https://aclanthology.org/2021.naacl-main.226.pdf
- 代码链接：https://github.com/4mekki4/arabic-nlp-da
Multi-task Learning of Negation and Speculation for Targeted Sentiment Classification
- 论文链接：https://aclanthology.org/2021.naacl-main.227.pdf
- 代码链接：https://github.com/jerbarnes/multitask_negation_for_targeted_sentiment
A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews
- 论文链接：https://aclanthology.org/2021.naacl-main.228.pdf
- 代码链接：https://github.com/gabrer/diatom
Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification
Emotion-Infused Models for Explainable Psychological Stress Detection
Aspect-based Sentiment Analysis with Type-aware Graph Convolutional Networks and Layer Ensemble
- 论文链接：https://aclanthology.org/2021.naacl-main.231.pdf
- 代码链接：https://github.com/cuhksz-nlp/ASA-TGCN
Supertagging-based Parsing with Linear Context-free Rewriting Systems
- 论文链接：https://aclanthology.org/2021.naacl-main.232.pdf
- 代码链接：https://github.com/truprecht/lcfrs-supertagger
Outside Computation with Superior Functions
Learning Syntax from Naturally-Occurring Bracketings
- 论文链接：https://aclanthology.org/2021.naacl-main.234.pdf
- 代码链接：https://github.com/tzshi/nob-naacl21
Bot-Adversarial Dialogue for Safe Conversational Agents
Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog
- 论文链接：https://aclanthology.org/2021.naacl-main.236.pdf
- 代码链接：https://github.com/facebookresearch/pytext
Example-Driven Intent Prediction with Observers
- 论文链接：https://aclanthology.org/2021.naacl-main.237.pdf
- 代码链接：https://github.com/alexa/DialoGLUE/
Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management
Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems
Controlling Dialogue Generation with Semantic Exemplars
- 论文链接：https://aclanthology.org/2021.naacl-main.240.pdf
- 代码链接：https://github.com/prakharguptaz/EDGE-exemplars
COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List
- 论文链接：https://aclanthology.org/2021.naacl-main.241.pdf
- 代码链接：https://github.com/luyug/COIL
X-Class: Text Classification with Extremely Weak Supervision
- 论文链接：https://aclanthology.org/2021.naacl-main.242.pdf
- 代码链接：https://github.com/ZihanWangKi/XClass
Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling
- 论文链接：https://aclanthology.org/2021.naacl-main.243.pdf
- 代码链接：https://github.com/aaronmueller/contextualized-topic-models
Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text Classification
- 论文链接：https://aclanthology.org/2021.naacl-main.244.pdf
- 代码链接：https://github.com/wfearn/preprocessing-paper
Faithfully Explainable Recommendation via Neural Logic Reasoning
- 论文链接：https://aclanthology.org/2021.naacl-main.245.pdf
- 代码链接：https://github.com/orcax/LOGER
You Sound Like Someone Who Watches Drama Movies: Towards Predicting Movie Preferences from Conversational Interactions
- 论文链接：https://aclanthology.org/2021.naacl-main.246.pdf
- 代码链接：https://github.com/sergey-volokhin/conversational-movies
Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents
- 论文链接：https://aclanthology.org/2021.naacl-main.247.pdf
- 代码链接：https://github.com/princeton-nlp/blindfold-textgame
SOrT-ing VQA Models : Contrastive Gradient Learning for Improved Consistency
- 论文链接：https://aclanthology.org/2021.naacl-main.248.pdf
- 代码链接：https://github.com/sameerdharur/sorting-vqa
Semi-Supervised Policy Initialization for Playing Games with Language Hints
Revisiting Document Representations for Large-Scale Zero-Shot Learning
- 论文链接：https://aclanthology.org/2021.naacl-main.250.pdf
- 代码链接：https://github.com/heendung/vs-zsl
Negative language transfer in learner English: A new dataset
- 论文链接：https://aclanthology.org/2021.naacl-main.251.pdf
- 代码链接：https://github.com/EdTeKLA/LanguageTransfer
SentSim: Crosslingual Semantic Evaluation of Machine Translation
- 论文链接：https://aclanthology.org/2021.naacl-main.252.pdf
- 代码链接：https://github.com/Rain9876/Unsupervised-crosslingual-Compound-Method-For-MT
Quality Estimation for Image Captions Based on Large-scale Human Evaluations
- 论文链接：https://aclanthology.org/2021.naacl-main.253.pdf
- 代码链接：https://github.com/google-research-datasets/image-caption-quality-dataset
CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems
- 论文链接：https://aclanthology.org/2021.naacl-main.254.pdf
- 代码链接：https://github.com/kushalchawla/CaSiNo
News Headline Grouping as a Challenging NLU Task
- 论文链接：https://aclanthology.org/2021.naacl-main.255.pdf
- 代码链接：https://github.com/tingofurro/headline_grouping
Olá, Bonjour, Salve! XFORMAL: A Benchmark for Multilingual Formality Style Transfer
- 论文链接：https://aclanthology.org/2021.naacl-main.256.pdf
- 代码链接：https://github.com/Elbria/xformal-FoST
Grouping Words with Semantic Diversity
Noise Stability Regularization for Improving BERT Fine-tuning
FlowPrior: Learning Expressive Priors for Latent Variable Sentence Models
HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization
- 论文链接：https://aclanthology.org/2021.naacl-main.260.pdf
- 代码链接：https://github.com/RingBDStack/HTCInfoMax
Knowledge Guided Metric Learning for Few-Shot Text Classification
Ensemble of MRR and NDCG models for Visual Dialog
- 论文链接：https://aclanthology.org/2021.naacl-main.262.pdf
- 代码链接：https://github.com/idansc/mrr-ndcg
Supervised Neural Clustering via Latent Structured Output Learning: Application to Question Intents
- 论文链接：https://aclanthology.org/2021.naacl-main.263.pdf
- 代码链接：https://github.com/iKernels/intent-qa
ConVEx: Data-Efficient and Few-Shot Slot Labeling
CREAD: Combined Resolution of Ellipses and Anaphora in Dialogues
- 论文链接：https://aclanthology.org/2021.naacl-main.265.pdf
- 代码链接：https://github.com/apple/ml-cread.
Knowledge-Driven Slot Constraints for Goal-Oriented Dialogue Systems
- 论文链接：https://aclanthology.org/2021.naacl-main.266.pdf
- 代码链接：https://github.com/amazon-research/nlu-slot-constraints
Clipping Loops for Sample-Efficient Dialogue Policy Optimisation
Integrating Lexical Information into Entity Neighbourhood Representations for Relation Prediction
- 论文链接：https://aclanthology.org/2021.naacl-main.268.pdf
- 代码链接：https://github.com/drevicko/OpenKI
Noisy-Labeled NER with Confidence Estimation
- 论文链接：https://aclanthology.org/2021.naacl-main.269.pdf
- 代码链接：https://github.com/liukun95/Noisy-NER-Confidence-Estimation
TABBIE: Pretrained Representations of Tabular Data
- 论文链接：https://aclanthology.org/2021.naacl-main.270.pdf
- 代码链接：https://github.com/SFIG611/tabbie
Better Feature Integration for Named Entity Recognition
- 论文链接：https://aclanthology.org/2021.naacl-main.271.pdf
- 代码链接：https://github.com/xuuuluuu/SynLSTM-for-NER
ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning
- 论文链接：https://aclanthology.org/2021.naacl-main.272.pdf
- 代码链接：https://github.com/dinobby/ZS-BERT
Graph Convolutional Networks for Event Causality Identification with Rich Document-level Structures
A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution
- 论文链接：https://aclanthology.org/2021.naacl-main.274.pdf
- 代码链接：https://github.com/laituan245/eventcoref
Multi-Style Transfer with Discriminative Feedback on Disjoint Corpus
- 论文链接：https://aclanthology.org/2021.naacl-main.275.pdf
- 代码链接：https://github.com/facebookresearch/fastText
FUDGE: Controlled Text Generation With Future Discriminators
- 论文链接：https://aclanthology.org/2021.naacl-main.276.pdf
- 代码链接：https://github.com/yangkevin2/naacl-2021-fudge-controlled-generation
Controllable Text Simplification with Explicit Paraphrasing
- 论文链接：https://aclanthology.org/2021.naacl-main.277.pdf
- 代码链接：https://github.com/mounicam/controllable_simplification
Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training
- 论文链接：https://aclanthology.org/2021.naacl-main.278.pdf
- 代码链接：https://github.com/google-research-datasets/KELM-corpus
Choose Your Own Adventure: Paired Suggestions in Collaborative Writing for Evaluating Story Generation Models
INFOXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training
Context-Interactive Pre-Training for Document Machine Translation
Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots
X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question Answering
Explicit Alignment Objectives for Multilingual Bidirectional Encoders
- 论文链接：https://aclanthology.org/2021.naacl-main.284.pdf
- 代码链接：http://github.com/junjiehu/amber
Cross-lingual Cross-modal Pretraining for Multimodal Retrieval
Wikipedia Entities as Rendezvous across Languages: Grounding Multilingual Language Models by Predicting Wikipedia Hyperlinks
MULTIPROVER: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning
- 论文链接：https://aclanthology.org/2021.naacl-main.287.pdf
- 代码链接：https://github.com/swarnaHub/multiPRover
Adaptable and Interpretable Neural Memory Over Symbolic Knowledge
CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images
- 论文链接：https://aclanthology.org/2021.naacl-main.289.pdf
- 代码链接：https://github.com/shailaja183/clevr_hyp
Refining Targeted Syntactic Evaluation of Language Models
Universal Adversarial Attacks with Natural Triggers for Text Classification
- 论文链接：https://aclanthology.org/2021.naacl-main.291.pdf
- 代码链接：https://github.com/Hsuan-Tung/universal_attack_natural_trigger
QuadrupletBERT: An Efficient Model For Embedding-Based Large-Scale Retrieval
- 论文链接：https://aclanthology.org/2021.naacl-main.292.pdf
- 代码链接：https://github.com/google-research/bert
Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack
- 论文链接：https://aclanthology.org/2021.naacl-main.293.pdf
- 代码链接：https://github.com/W-lw/debias_adv
An Empirical Investigation of Bias in the Multimodal Analysis of Financial Earnings Calls
- 论文链接：https://aclanthology.org/2021.naacl-main.294.pdf
- 代码链接：https://github.com/midas-research/multimodal-bias-naacl
Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning
- 论文链接：https://aclanthology.org/2021.naacl-main.296.pdf
- 代码链接：https://github.com/INK-USC/Upstream-Bias-Mitigation
Case Study: Deontological Ethics in NLP
Privacy Regularization: Joint Privacy-Utility Optimization in Language Models
On the Impact of Random Seeds on the Fairness of Clinical Classifiers
- 论文链接：https://aclanthology.org/2021.naacl-main.299.pdf
- 代码链接：https://github.com/MLforHealth/HurtfulWords
Topic Model or Topic Twaddle? Re-evaluating Semantic Interpretability Measures
Discourse Probing of Pretrained Language Models
- 论文链接：https://aclanthology.org/2021.naacl-main.301.pdf
- 代码链接：https://github.com/fajri91/discourse_probing
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost
tWT–WT: A Dataset to Assert the Role of Target Entities for Detecting Stance of Tweets
- 论文链接：https://aclanthology.org/2021.naacl-main.303.pdf
- 代码链接：https://github.com/Ayushk4/bias-stance
Learning to Learn to be Right for the Right Reasons
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation
- 论文链接：https://aclanthology.org/2021.naacl-main.305.pdf
- 代码链接：https://github.com/chong-z/nlp-second-order-attack
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks
- 论文链接：https://aclanthology.org/2021.naacl-main.306.pdf
- 代码链接：https://github.com/UVa-NLP/GMASK
Almost Free Semantic Draft for Neural Machine Translation
Pruning-then-Expanding Model for Domain Adaptation of Neural Machine Translation
- 论文链接：https://aclanthology.org/2021.naacl-main.308.pdf
- 代码链接：https://github.com/ictnlp/PTE-NMT
Multi-Hop Transformer for Document-Level Machine Translation
Continual Learning for Neural Machine Translation
- 论文链接：https://aclanthology.org/2021.naacl-main.310.pdf
- 代码链接：https://github.com/caoy1996/CL-NMT
Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios
Smart-Start Decoding for Neural Machine Translation
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation
- 论文链接：https://aclanthology.org/2021.naacl-main.313.pdf
- 代码链接：https://github.com/yongchanghao/multi-task-nat
ER-AE: Differentially Private Text Generation for Authorship Anonymization
- 论文链接：https://aclanthology.org/2021.naacl-main.314.pdf
- 代码链接：https://github.com/McGill-DMaS/Authorship-Anonymization
Distantly Supervised Transformers For E-Commerce Product QA
Quantitative Day Trading from Natural Language using Reinforcement Learning
Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation
Modeling Diagnostic Label Correlation for Automatic ICD Coding
- 论文链接：https://aclanthology.org/2021.naacl-main.318.pdf
- 代码链接：https://github.com/MiuLab/ICD-Correlation
Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents
A recipe for annotating grounded clarifications
Grey-box Adversarial Attack And Defence For Sentiment Classification
- 论文链接：https://aclanthology.org/2021.naacl-main.321.pdf
- 代码链接：https://github.com/ibm-aur-nlp/adv-def-text-dist
How low is too low? A monolingual take on lemmatisation in Indian languages
- 论文链接：https://aclanthology.org/2021.naacl-main.322.pdf
- 代码链接：https://github.com/krsrv/lemmatisation
Causal Effects of Linguistic Properties
- 论文链接：https://aclanthology.org/2021.naacl-main.323.pdf
- 代码链接：https://github.com/rpryzant/causal-text
Dynabench: Rethinking Benchmarking in NLP
Translational NLP: A New Paradigm and General Principles for Natural Language Processing Research
Predicting Discourse Trees from Transformer-based Neural Summarizers
- 论文链接：https://aclanthology.org/2021.naacl-main.326.pdf
- 代码链接：https://github.com/Wendy-Xiao/summ_guided_disco_parser
Probing for Bridging Inference in Transformer Language Models
- 论文链接：https://aclanthology.org/2021.naacl-main.327.pdf
- 代码链接：https://github.com/oapandit/probBertForbridging
Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models
- 论文链接：https://aclanthology.org/2021.naacl-main.328.pdf
- 代码链接：https://github.com/AnneBeyer/coherencegym
Stay Together: A System for Single and Split-antecedent Anaphora Resolution
- 论文链接：https://aclanthology.org/2021.naacl-main.329.pdf
- 代码链接：https://github.com/juntaoy/dali-full-anaphora
Redefining Absent Keyphrases and their Effect on Retrieval Effectiveness
- 论文链接：https://aclanthology.org/2021.naacl-main.330.pdf
- 代码链接：https://github.com/boudinfl/redefining-absent-keyphrases
CoRT: Complementary Rankings from Transformers
- 论文链接：https://aclanthology.org/2021.naacl-main.331.pdf
- 代码链接：https://github.com/lavis-nlp/CoRT
Multi-source Neural Topic Modeling in Multi-view Embedding Spaces
- 论文链接：https://aclanthology.org/2021.naacl-main.332.pdf
- 代码链接：https://github.com/YatinChaudhary/Multi-view-Multi-source-Topic-Modeling
Inductive Topic Variational Graph Auto-Encoder for Text Classification
Self-Alignment Pretraining for Biomedical Entity Representations
- 论文链接：https://aclanthology.org/2021.naacl-main.334.pdf
- 代码链接：https://github.com/cambridgeltl/sapbert
TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names
- 论文链接：https://aclanthology.org/2021.naacl-main.335.pdf
- 代码链接：https://github.com/mickeystroller/TaxoClass
MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding
- 论文链接：https://aclanthology.org/2021.naacl-main.336.pdf
- 代码链接：https://github.com/tuhinjubcse/MetaphorGenNAACL2021
On Learning Text Style Transfer with Direct Rewards
- 论文链接：https://aclanthology.org/2021.naacl-main.337.pdf
- 代码链接：https://github.com/yixinL7/Direct-Style-Transfer
Focused Attention Improves Document-Grounded Generation
NEUROLOGIC DECODING: (Un)supervised Neural Text Generation with Predicate Logic Constraints
Ask what’s missing and what’s useful: Improving Clarification Question Generation using Global Knowledge
- 论文链接：https://aclanthology.org/2021.naacl-main.340.pdf
- 代码链接：https://github.com/microsoft/clarification-qgen-globalinfo
Progressive Generation of Long Text with Pretrained Language Models
- 论文链接：https://aclanthology.org/2021.naacl-main.341.pdf
- 代码链接：https://github.com/tanyuqian/progressive-generation
SOCCER: An Information-Sparse Discourse State Tracking Collection in the Sports Commentary Domain
Plot-guided Adversarial Example Construction for Evaluating Open-domain Story Generation
- 论文链接：https://aclanthology.org/2021.naacl-main.343.pdf
- 代码链接：https://github.com/PlusLabNLP/Plot-guided-Coherence-Evaluation
MULTIOPED: A Corpus of Multi-Perspective News Editorials
- 论文链接：https://aclanthology.org/2021.naacl-main.344.pdf
- 代码链接：http://cogcomp.org/page/publication_view/935
SWORDS : A Benchmark for Lexical Substitution with Improved Data Coverage and Quality
“I’m Not Mad”: Commonsense Implications of Negation and Contradiction
- 论文链接：https://aclanthology.org/2021.naacl-main.346.pdf
- 代码链接：https://github.com/liweijiang/anion
Identifying Medical Self-Disclosure in Online Communities
Language in a (Search) Box: Grounding Language Learning in Real-World Human-Machine Interaction
Finding Concept-specific Biases in Form–Meaning Associations
- 论文链接：https://aclanthology.org/2021.naacl-main.349.pdf
- 代码链接：https://github.com/rycolab/form-meaning-associations
How (Non-)Optimal is the Lexicon?
Word Complexity is in the Eye of the Beholder
Linguistic Complexity Loss in Text-Based Therapy
Ab Antiquo: Neural Proto-language Reconstruction
- 论文链接：https://aclanthology.org/2021.naacl-main.353.pdf
- 代码链接：https://github.com/shauli-ravfogel/Latin-Reconstruction-NAACL
On Biasing Transformer Attention Towards Monotonicity
- 论文链接：https://aclanthology.org/2021.naacl-main.354.pdf
- 代码链接：https://github.com/ZurichNLP/monotonicity_loss
Extracting a Knowledge Base of Mechanisms from COVID-19 Papers
- 论文链接：https://aclanthology.org/2021.naacl-main.355.pdf
- 代码链接：https://covidmechanisms.apps.allenai.org/
Constrained Multi-Task Learning for Event Coreference Resolution
- 论文链接：https://aclanthology.org/2021.naacl-main.356.pdf
- 代码链接：https://github.com/facebookresearch/SpanBERT
Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality
Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality
- 论文链接：https://aclanthology.org/2021.naacl-main.358.pdf
- 代码链接：https://github.com/bionlplab/heart_failure_mortality
On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles
Data and Model Distillation as a Solution for Domain-transferable Fact Verification
- 论文链接：https://aclanthology.org/2021.naacl-main.360.pdf
- 代码链接：https://github.com/clulab/releases/tree/master/naacl2021-student-teacher
Adapting Coreference Resolution for Processing Violent Death Narratives
Time-Stamped Language Model: Teaching Language Models to Understand the Flow of Events
If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering
- 论文链接：https://aclanthology.org/2021.naacl-main.363.pdf
- 代码链接：https://github.com/vikas95/WAIR_interpretability
SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning
- 论文链接：https://aclanthology.org/2021.naacl-main.364.pdf
- 代码链接：https://github.com/HLR/SpartQA_generation
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers
Differentiable Open-Ended Commonsense Reasoning
Does Structure Matter? Encoding Documents for Machine Reading Comprehension
- 论文链接：https://aclanthology.org/2021.naacl-main.367.pdf
- 代码链接：https://github.com/huggingface/transformers/blob/master/examples/legacy/question-answering/
Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval
- 论文链接：https://aclanthology.org/2021.naacl-main.368.pdf
- 代码链接：https://github.com/henryzhao5852/BeamDR
Scalable and Interpretable Semantic Change Detection
- 论文链接：https://aclanthology.org/2021.naacl-main.369.pdf
- 代码链接：https://github.com/matejMartinc/scalable_semantic_shift
Scalar Adjective Identification and Multilingual Ranking
- 论文链接：https://aclanthology.org/2021.naacl-main.370.pdf
- 代码链接：https://github.com/ainagari/scalar_adjs
ESC: Redesigning WSD with Extractive Sense Comprehension
- 论文链接：https://aclanthology.org/2021.naacl-main.371.pdf
- 代码链接：https://github.com/SapienzaNLP/esc
Recent advances in neural metaphor processing: A linguistic, cognitive and social perspective
Constructing Taxonomies from Pretrained Language Models
- 论文链接：https://aclanthology.org/2021.naacl-main.373.pdf
- 代码链接：https://github.com/cchen23/ctp
Event Representation with Sequential, Semi-Supervised Discrete Variables
Seq2Emo: A Sequence to Multi-Label Emotion Classification Model
- 论文链接：https://aclanthology.org/2021.naacl-main.375.pdf
- 代码链接：https://github.com/chenyangh/Seq2Emo
Knowledge Enhanced Masked Language Model for Stance Detection
- 论文链接：https://aclanthology.org/2021.naacl-main.376.pdf
- 代码链接：https://github.com/GU-DataLab/stance-detection-KE-MLM
Learning Paralinguistic Features from Audiobooks through Style Voice Conversion
- 论文链接：https://aclanthology.org/2021.naacl-main.377.pdf
- 代码链接：http://www.cstr.ed.ac.uk/projects/blizzard/
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks
- 论文链接：https://aclanthology.org/2021.naacl-main.378.pdf
- 代码链接：https://github.com/ZixuanKe/PyContinual
Adversarial Learning for Zero-Shot Stance Detection on Social Media
- 论文链接：https://aclanthology.org/2021.naacl-main.379.pdf
- 代码链接：https://github.com/MalavikaSrikanth16/adversarial-learning-for-stance.
Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters
- 论文链接：https://aclanthology.org/2021.naacl-main.380.pdf
- 代码链接：https://github.com/amazon-research/BartGraphSumm
Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization
- 论文链接：https://aclanthology.org/2021.naacl-main.381.pdf
- 代码链接：https://github.com/jiangycTarheel/TPT-Summ
What’s in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics
- 论文链接：https://aclanthology.org/2021.naacl-main.383.pdf
- 代码链接：https://github.com/artidoro/frank
GSum: A General Framework for Guided Neural Abstractive Summarization
- 论文链接：https://aclanthology.org/2021.naacl-main.384.pdf
- 代码链接：https://github.com/neulab/guided_summarization
What Will it Take to Fix Benchmarking in Natural Language Understanding?
TuringAdvice: A Generative and Dynamic Evaluation of Language Use
Multitask Learning for Emotionally Analyzing Sexual Abuse Disclosures
- 论文链接：https://aclanthology.org/2021.naacl-main.387.pdf
- 代码链接：https://github.com/midas-research/metoo-mtl-naacl
Self Promotion in US Congressional Tweets
- 论文链接：https://aclanthology.org/2021.naacl-main.388.pdf
- 代码链接：https://github.com/junwang4/self-promotion-in-congress-tweets
Profiling of Intertextuality in Latin Literature Using Word Embeddings
- 论文链接：https://aclanthology.org/2021.naacl-main.389.pdf
- 代码链接：https://github.com/QuantitativeCriticismLab/NAACL-HLT-2021-Latin-Intertextuality
Identifying inherent disagreement in natural language inference
- 论文链接：https://aclanthology.org/2021.naacl-main.390.pdf
- 代码链接：https://github.com/FrederickXZhang/FgNLI
Modeling Human Mental States with an Entity-based Narrative Graph
- 论文链接：https://aclanthology.org/2021.naacl-main.391.pdf
- 代码链接：https://github.com/doug919/entity_based_narrative_graph
A Simple and Efficient Multi-Task Learning Approach for Conditioned Dialogue Generation
- 论文链接：https://aclanthology.org/2021.naacl-main.392.pdf
- 代码链接：https://github.com/zengyan-97/MultiT-C-Dialog
Hurdles to Progress in Long-form Question Answering
- 论文链接：https://aclanthology.org/2021.naacl-main.393.pdf
- 代码链接：https://github.com/martiansideofthemoon/hurdles-longform-qa
ENTRUST: Argument Reframing with Language Models and Entailment
- 论文链接：https://aclanthology.org/2021.naacl-main.394.pdf
- 代码链接：https://github.com/tuhinjubcse/ArgReframingNAACL2021
Paragraph-level Simplification of Medical Texts
- 论文链接：https://aclanthology.org/2021.naacl-main.395.pdf
- 代码链接：https://github.com/AshOlogn/Paragraph-level-Simplification-of-Medical-Texts
An Empirical Study on Neural Keyphrase Generation
- 论文链接：https://aclanthology.org/2021.naacl-main.396.pdf
- 代码链接：https://github.com/memray/OpenNMT-kpg-release
Attention Head Masking for Inference Time Content Selection in Abstractive Summarization
- 论文链接：https://aclanthology.org/2021.naacl-main.397.pdf
- 代码链接：https://shuyangcao.github.io/projects/inference_head_masking
Factual Probing Is [MASK]: Learning vs. Learning to Recal
- 论文链接：https://aclanthology.org/2021.naacl-main.398.pdf
- 代码链接：https://github.com/princeton-nlp/OptiPrompt
Evaluating Saliency Methods for Neural Language Models
- 论文链接：https://aclanthology.org/2021.naacl-main.399.pdf
- 代码链接：https://github.com/shuoyangd/tarsius
Contextualized Perturbation for Textual Adversarial Attack
- 论文链接：https://aclanthology.org/2021.naacl-main.400.pdf
- 代码链接：https://github.com/cookielee77/CLARE
DIRECTPROBE: Studying Representations without Classifiers
- 论文链接：https://aclanthology.org/2021.naacl-main.401.pdf
- 代码链接：https://github.com/utahnlp/DirectProbe
Evaluating the Values of Sources in Transfer Learning
- 论文链接：https://aclanthology.org/2021.naacl-main.402.pdf
- 代码链接：https://github.com/rizwan09/NLPDV/
Too Much in Common: Shifting of Embeddings in Transformer Language Models and its Implications
- 论文链接：https://aclanthology.org/2021.naacl-main.403.pdf
- 代码链接：https://github.com/danielbis/tooMuchInCommon
On the Inductive Bias of Masked Language Modeling: From Statistical to Syntactic Dependencies
- 论文链接：https://aclanthology.org/2021.naacl-main.404.pdf
- 代码链接：https://github.com/tatsu-lab/mlm_inductive_bias
Limitations of Autoregressive Models and Their Alternatives
On the Transformer Growth for Progressive BERT Training
- 论文链接：https://aclanthology.org/2021.naacl-main.406.pdf
- 代码链接：https://github.com/google-research/google-research/tree/master/grow_bert
Revisiting Simple Neural Probabilistic Language Models
- 论文链接：https://aclanthology.org/2021.naacl-main.407.pdf
- 代码链接：https://github.com/SimengSun/revisit-nplm
READTWICE: Reading Very Large Documents with Memories
SCRIPT: Self-Critic Pretraining of Transformers
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts
- 论文链接：https://aclanthology.org/2021.naacl-main.410.pdf
- 代码链接：https://github.com/hiaoxui/soft-prompts
Nutri-bullets Hybrid: Consensual Multi-document Summarization
- 论文链接：https://aclanthology.org/2021.naacl-main.411.pdf
- 代码链接：https://github.com/darsh10/Nutribullets
AVA: an Automatic eValuation Approach for Question Answering Systems
SpanPredict: Extraction of Predictive Document Spans with Neural Attention
- 论文链接：https://aclanthology.org/2021.naacl-main.413.pdf
- 代码链接：http://nlp.stanford.edu/data/glove.6B.zip
Text Editing by Command
- 论文链接：https://aclanthology.org/2021.naacl-main.414.pdf
- 代码链接：http://microsoft.com/research/project/interactive-document-generation
A Deep Metric Learning Approach to Account Linking
- 论文链接：https://aclanthology.org/2021.naacl-main.415.pdf
- 代码链接：http://github.com/noa/naacl2021
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation
- 论文链接：https://aclanthology.org/2021.naacl-main.416.pdf
- 代码链接：https://github.com/ysmiura/ifcc
Multimodal End-to-End Sparse Model for Emotion Recognition
- 论文链接：https://aclanthology.org/2021.naacl-main.417.pdf
- 代码链接：https://github.com/wenliangdai/Multimodal-End2end-Sparse
MIMOQA: Multimodal Input Multimodal Output Question Answering
OCID-Ref: A 3D Robotic Dataset with Embodied Language for Clutter Scene Grounding
- 论文链接：https://aclanthology.org/2021.naacl-main.419.pdf
- 代码链接：https://github.com/lluma/OCID-Ref
Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions
- 论文链接：https://aclanthology.org/2021.naacl-main.420.pdf
- 代码链接：https://github.com/uclanlp/visualbert
Multitasking Inhibits Semantic Drift
Probing Contextual Language Models for Common Ground with Visual Representations
BBAEG: Towards BERT-based Biomedical Adversarial Example Generation for Text Classification
- 论文链接：https://aclanthology.org/2021.naacl-main.423.pdf
- 代码链接：https://github.com/Ishani-Mondal/BBAEG.git
Targeted Adversarial Training for Natural Language Understanding
- 论文链接：https://aclanthology.org/2021.naacl-main.424.pdf
- 代码链接：https://github.com/namisan/mt-dnn
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection
- 论文链接：https://aclanthology.org/2021.naacl-main.425.pdf
- 代码链接：https://github.com/guoxuxu/LOANT
Self-training Improves Pre-training for Natural Language Understanding
- 论文链接：https://aclanthology.org/2021.naacl-main.426.pdf
- 代码链接：https://github.com/facebookresearch/SentAugment
Supporting Clustering with Contrastive Learning
TITA: A Two-stage Interaction and Topic-Aware Text Matching Model
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction
- 论文链接：https://aclanthology.org/2021.naacl-main.429.pdf
- 代码链接：https://github.com/thunlp/VERNet
Neural Network Surgery: Injecting Data Patterns into Pre-trained Models with Minimal Instance-wise Side Effects
Discrete Argument Representation Learning for Interactive Argument Pair Identification
- 论文链接：https://aclanthology.org/2021.naacl-main.431.pdf
- 代码链接：http://fudan-disc.com/data/arg-pairs-fudanU.zip
On Unifying Misinformation Detection
Frustratingly Easy Edit-based Linguistic Steganography with a Masked Language Model
- 论文链接：https://aclanthology.org/2021.naacl-main.433.pdf
- 代码链接：https://github.com/ku-nlp/steganography-with-masked-lm
Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning
- 论文链接：https://aclanthology.org/2021.naacl-main.434.pdf
- 代码链接：https://github.com/jasonwei20/triplet-loss
Do RNN States Encode Abstract Phonological Alternations?
- 论文链接：https://aclanthology.org/2021.naacl-main.435.pdf
- 代码链接：https://github.com/mpsilfve/gradation
Pre-training with Meta Learning for Chinese Word Segmentation
Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation
- 论文链接：https://aclanthology.org/2021.naacl-main.437.pdf
- 代码链接：https://github.com/Hunter-DDM/DeFT-naacl2021.
User-Generated Text Corpus for Evaluating Japanese Morphological Analysis and Lexical Normalization
- 论文链接：https://aclanthology.org/2021.naacl-main.438.pdf
- 代码链接：https://github.com/shigashiyama/jlexnorm
GPT Perdetry Test: Generating new meanings for new words
Universal Semantic Tagging for English and Mandarin Chinese
- 论文链接：https://aclanthology.org/2021.naacl-main.440.pdf
- 代码链接：https://github.com/pkucoli/UST
ShadowGNN: Graph Projection Neural Network for Text-to-SQL Parser
- 论文链接：https://aclanthology.org/2021.naacl-main.441.pdf
- 代码链接：https://github.com/WowCZ/shadowgnn
Contextualized and Generalized Sentence Representations by Contrastive Self-Supervised Learning: A Case Study on Discourse Relation Analysis
- 论文链接：https://aclanthology.org/2021.naacl-main.442.pdf
- 代码链接：https://github.com/soskek/bookcorpus
AMR Parsing with Action-Pointer Transformer
- 论文链接：https://aclanthology.org/2021.naacl-main.443.pdf
- 代码链接：https://github.com/IBM/transition-amr-parser
NL-EDIT: Correcting Semantic Parse Errors through Natural Language Interaction
Unsupervised Concept Representation Learning for Length-Varying Text Similarity
- 论文链接：https://aclanthology.org/2021.naacl-main.445.pdf
- 代码链接：https://github.com/dfdazac/wassdistance
Augmenting Knowledge-grounded Conversations with Sequential Knowledge Transition
- 论文链接：https://aclanthology.org/2021.naacl-main.446.pdf
- 代码链接：https://github.com/ymcui/Chinese-BERT-wwm
Adversarial Self-Supervised Learning for Out-of-Domain Detection
- 论文链接：https://aclanthology.org/2021.naacl-main.447.pdf
- 代码链接：https://github.com/parZival27/Adversarial-Self-Supervised-Out-of-Domain-Detection
Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State Tracking
- 论文链接：https://aclanthology.org/2021.naacl-main.448.pdf
- 代码链接：https://github.com/facebookresearch/Zero-Shot-DST
Hierarchical Transformer for Task Oriented Dialog Systems
- 论文链接：https://aclanthology.org/2021.naacl-main.449.pdf
- 代码链接：https://github.com/bsantraigi/HIER
Measuring the ‘I don’t know’ Problem through the Lens of Gricean Quantity
- 论文链接：https://aclanthology.org/2021.naacl-main.450.pdf
- 代码链接：https://github.com/facebookresearch/flores/tree/5696dd4ef07e29977d5690d2539513a4ef2fe7f0
RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion
Open Hierarchical Relation Extraction
- 论文链接：https://aclanthology.org/2021.naacl-main.452.pdf
- 代码链接：https://github.com/thunlp/OHRE
Jointly Extracting Explicit and Implicit Relational Triples with Reasoning Pattern Enhanced Binary Pointer Network
Multi-Grained Knowledge Distillation for Named Entity Recognition
- 论文链接：https://aclanthology.org/2021.naacl-main.454.pdf
- 代码链接：https://github.com/11zhouxuan/multi_grained_kd_ner
SGG: Learning to Select, Guide, and Generate for Keyphrase Generation
Towards Sentiment and Emotion aided Multi-modal Speech Act Classification in Twitter
Generative Imagination Elevates Machine Translation
Non-Autoregressive Translation by Learning Target Categorical Codes
Training Data Augmentation for Code-Mixed Translation
- 论文链接：https://aclanthology.org/2021.naacl-main.459.pdf
- 代码链接：https://github.com/shruikan20/Spoken-Tutorial-Dataset
Rethinking Perturbations in Encoder-Decoders for Fast Training
- 论文链接：https://aclanthology.org/2021.naacl-main.460.pdf
- 代码链接：https://github.com/takase/rethink_perturbations
Context-aware Decoder for Neural Machine Translation using a Target-side Document-Level Language Model
Machine Translated Text Detection Through Text Similarity with Round-Trip Translation
- 论文链接：https://aclanthology.org/2021.naacl-main.462.pdf
- 代码链接：https://github.com/quocnsh/machine_translation_detection
TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference
- 论文链接：https://aclanthology.org/2021.naacl-main.463.pdf
- 代码链接：https://github.com/thunlp/TR-BERT
Breadth First Reasoning Graph for Multi-hop Question Answering
Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering
- 论文链接：https://aclanthology.org/2021.naacl-main.466.pdf
- 代码链接：https://github.com/PaddlePaddle/Research/tree/master/NLP/NAACL2021-RocketQA
DAGN: Discourse-Aware Graph Network for Logical Reasoning
- 论文链接：https://aclanthology.org/2021.naacl-main.467.pdf
- 代码链接：https://github.com/Eleanor-H/DAGN
Designing a Minimal Retrieve-and-Read System for Open-Domain Question Answering
- 论文链接：https://aclanthology.org/2021.naacl-main.468.pdf
- 代码链接：https://github.com/clovaai/minimal-rnr-qa
Unsupervised Multi-hop Question Answering by Question Generation
- 论文链接：https://aclanthology.org/2021.naacl-main.469.pdf
- 代码链接：https://github.com/teacherpeterpan/Unsupervised-Multi-hop-QA
Sliding Selector Network with Dynamic Memory for Extractive Summarization of Long Documents
- 论文链接：https://aclanthology.org/2021.naacl-main.470.pdf
- 代码链接：https://github.com/pcui-nlp/SSN_DM
AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization
- 论文链接：https://aclanthology.org/2021.naacl-main.471.pdf
- 代码链接：https://github.com/TysonYu/AdaptSum
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization
- 论文链接：https://aclanthology.org/2021.naacl-main.472.pdf
- 代码链接：https://github.com/Yale-LILY/QMSum
MM-AVS: A Full-Scale Dataset for Multi-modal Summarization
MEDIASUM: A Large-scale Media Interview Dataset for Dialogue Summarization
- 论文链接：https://aclanthology.org/2021.naacl-main.474.pdf
- 代码链接：https://github.com/zcgzcgzcg1/MediaSum/
Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection
- 论文链接：https://aclanthology.org/2021.naacl-main.475.pdf
- 代码链接：http://cogcomp.org/page/publication_view/938
Inference Time Style Control for Summarization