AdapLeR: Speeding up Inference by Adaptive Length Reduction JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection Attention Temperature Matters in Abstractive Summarization Distillation Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine Translation CipherDAug: Ciphertext based Data Augmentation for Neural Machine Translation Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages New Intent Discovery with Pre-training and Contrastive Learning Structural Characterization for Dialogue Disentanglement MISC: A Mixed Strategy-Aware Model integrating COMET for Emotional Support Conversation GLM: General Language Model Pretraining with Autoregressive Blank Infilling QuoteR: A Benchmark of Quote Recommendation for Writing Hypergraph Transformer: Weakly-Supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models So Different Yet So Alike! Constrained Unsupervised Text Style Transfer e-CARE: a New Dataset for Exploring Explainable Causal Reasoning Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding Learn to Adapt for Generalized Zero-Shot Text Classification TableFormer: Robust Transformer Modeling for Table-Text Encoding Perceiving the World: Question-guided Reinforcement Learning for Text-based Games Quality Controlled Paraphrase Generation
Legal Judgment Prediction via Event Extraction with Constraints
Answer-level Calibration for Free-form Multiple Choice Question Answering Learning When to Translate for Streaming Speech Compact Token Representations with Contextual Quantization for Efficient Document Re-ranking Early Stopping Based on Unlabeled Samples in Text Classification Meta-learning via Language Model In-context Tuning Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning Constrained Multi-Task Learning for Bridging Resolution DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation Language-agnostic BERT Sentence Embedding Parallel Instance Query Network for Named Entity Recognition Learning Disentangled Semantic Representations for Zero-Shot Cross-Lingual Transfer in Multilingual Machine Reading Comprehension Multi-Granularity Structural Knowledge Distillation for Language Model Compression A Closer Look at How Fine-tuning Changes BERT FaiRR: Faithful and Robust Deductive Reasoning over Natural Language HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation Doctor Recommendation in Online Health Forums via Expertise Learning Continual Prompt Tuning for Dialog State Tracking There’s a Time and Place for Reasoning Beyond the Image FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning
Unsupervised Extractive Opinion Summarization Using Sparse Coding
LexSubCon: Integrating Knowledge from Lexical Resources into Contextual Embeddings for Lexical Substitution Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learning Tracing Origins: Coreference-aware Machine Reading Comprehension A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation Synthetic Question Value Estimation for Domain Adaptation of Question Answering Better Language Model with Hypernym Class Prediction Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks
Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization
Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang Spurious Correlations in Reference-Free Evaluation of Text Generation Bias Mitigation in Machine Translation Quality Estimation Structured Pruning Learns Compact and Accurate Models How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language SummN: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents Open Domain Question Answering with A Unified Knowledge Interface Principled Paraphrase Generation with Parallel Corpora Domain Knowledge Transferring for Pre-trained Language Model via Calibrated Activation Boundary Distillation
DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization
Fully-Semantic Parsing and Generation: the BabelNet Meaning Representation Composable Sparse Fine-Tuning for Cross-Lingual Transfer Under the Morphosyntactic Lens: A Multifaceted Evaluation of Gender Bias in Speech Translation Answering Open-Domain Multi-Answer Questions via a Recall-then-Verify Framework Probing as Quantifying Inductive Bias GPT-D: Inducing Dementia-related Linguistic Anomalies by Deliberate Degradation of Artificial Neural Language Models An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models Exploring and Adapting Chinese GPT to Pinyin Input Method Enhancing Cross-lingual Natural Language Inference by Prompt-learning from Cross-lingual Templates Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation Metaphors in Pre-Trained Language Models: Probing and Generalization Across Datasets and Languages Discrete Opinion Tree Induction for Aspect-based Sentiment Analysis Investigating Non-local Features for Neural Constituency Parsing A Variational Hierarchical Model for Neural Cross-Lingual Summarization OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages Vision-Language Pre-Training for Multimodal Aspect-Based Sentiment Analysis Efficient Cluster-Based k-Nearest-Neighbor Machine Translation Headed-Span-Based Projective Dependency Parsing Robust Lottery Tickets for Pre-trained Language Models Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification Cross-Lingual Contrastive Learning for Fine-Grained Entity Typing for Low-Resource Languages MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation Beyond the Granularity: Multi-Perspective Dialogue Collaborative Selection for Dialogue State Tracking Learning Confidence for Transformer-based Neural Machine Translation Things not Written in Text: Exploring Spatial Commonsense from Visual Signals Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks Dependency Parsing as MRC-based Span-Span Prediction Generating Scientific Claims for Zero-Shot Scientific Fact Checking Modeling Dual Read/Write Paths for Simultaneous Machine Translation
ExtEnD: Extractive Entity Disambiguation
Hierarchical Sketch Induction for Paraphrase Generation
Alignment-Augmented Consistent Translation for Multilingual Open Information Extraction
Text-to-Table: A New Way of Information Extraction
Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification MSCTD: A Multimodal Sentiment Chat Translation Dataset On the Sensitivity and Stability of Model Interpretations in NLP Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets GL-CLeF: A Global–Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER Efficient Hyper-parameter Search for Knowledge Graph Embedding A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation Sequence-to-Sequence Knowledge Graph Completion and Question Answering Learning to Mediate Disparities Towards Pragmatic Communication Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion BRIO: Bringing Order to Abstractive Summarization FIBER: Fill-in-the-Blanks as a Challenging Video Understanding Evaluation Framework KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling A Taxonomy of Empathetic Questions in Social Dialogs
Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction
ProtoTEx: Explaining Model Decisions with Prototype Tensors Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering Automated Crossword Solving Learned Incremental Representations for Parsing Misinfo Reaction Frames: Reasoning about Readers’ Reactions to News Headlines Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection Generated Knowledge Prompting for Commonsense Reasoning Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data Life after BERT: What do Other Muppets Understand about Language? Tailor: Generating and Perturbing Text with Semantic Controls TruthfulQA: Measuring How Models Mimic Human Falsehoods LAGr: Label Aligned Graphs for Better Systematic Generalization in Semantic Parsing ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization
EntSUM: A Data Set for Entity-Centric Extractive Summarization
ILDAE: Instance-Level Difficulty Analysis of Evaluation Data Image Retrieval from Contextual Descriptions Cross-Task Generalization via Natural Language Crowdsourcing Instructions Imputing Out-of-Vocabulary Embeddings with LOVE Makes LanguageModels Robust with Little Cost Improving Multi-label Malevolence Detection in Dialogues through Multi-faceted Label Correlation Enhancement How Do We Answer Complex Questions: Discourse Structure of Long-form Answers Understanding Iterative Revision from Human-Written Text Making Transformers Solve Compositional Tasks Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers Prompt-free and Efficient Few-shot Learning with Language Models Continual Sequence Generation with Adaptive Compositional Modules An Investigation of the (In)effectiveness of Counterfactually Augmented Data Inducing Positive Perspectives with Text Reframing From the Detection of Toxic Spans in Online Discussions to the Analysis of Toxic-to-Civil Transfer The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems DialFact: A Benchmark for Fact-Checking in Dialogue Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching Detecting Unassimilated Borrowings in Spanish: An Annotated Corpus and Approaches to Modeling Neural Pipeline for Zero-Shot Data-to-Text Generation
Automatic Error Analysis for Document-level Information Extraction
ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understanding Chart-to-Text: A Large-Scale Benchmark for Chart Summarization Bag-of-Words vs. Graph vs. Sequence in Text Classification: Questioning the Necessity of Text-Graphs and the Surprising Strength of a Wide MLP
Incorporating Stock Market Signals for Twitter Stance Detection
Zero-Shot Cross-lingual Semantic Parsing The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study Improving Compositional Generalization with Self-Training for Data-to-Text Generation MMCoQA: Conversational Question Answering over Text, Tables, and Images Effective Token Graph Modeling using a Novel Labeling Strategy for Structured Sentiment Analysis PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks Disentangled Sequence to Sequence Learning for Compositional Generalization RST Discourse Parsing with Second-Stage EDU-Level Pre-training SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze? LexGLUE: A Benchmark Dataset for Legal Language Understanding in English Improving Word Translation via Two-Stage Contrastive Learning Scheduled Multi-task Learning for Neural Chat Translation FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing Towards Abstractive Grounded Summarization of Podcast Transcripts FiNER: Financial Numeric Entity Recognition for XBRL Tagging Identifying the Human Values behind Arguments
BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation
Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization Zoom Out and Observe: News Environment Perception for Fake News Detection Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models SRL4E – Semantic Role Labeling for Emotions: A Unified Evaluation Framework Probing for Predicate Argument Structures in Pretrained Language Models
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction
Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System Graph Enhanced Contrastive Learning for Radiology Findings Summarization Semi-Supervised Formality Style Transfer with Consistency Training Rare and Zero-shot Word Sense Disambiguation using Z-Reweighting Nibbling at the Hard Core of Word Sense Disambiguation Unsupervised Dependency Graph Network WikiDiverse: A Multimodal Entity Linking Dataset with Diversified Contextual Topics and Entity Types Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models Fine- and Coarse-Granularity Hybrid Self-Attention for Efficient BERT Visual-Language Navigation Pretraining via Prompt-based Environmental Self-exploration DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations Textomics: A Dataset for Genomics Data Summary Generation Packed Levitated Marker for Entity and Relation Extraction An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation Impact of Evaluation Methodologies on Code Summarization CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues Pass off Fish Eyes for Pearls: Attacking Model Selection of Pre-trained Models Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-centric Summarization HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization A Neural Network Architecture for Program Understanding Inspired by Human Behaviors FaVIQ: FAct Verification from Information-seeking Questions Simulating Bandit Learning from User Feedback for Extractive Question Answering ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization
Dynamic Global Memory for Document-level Argument Extraction
Phone-ing it in: Towards Flexible Multi-Modal Language Model Training by Phonetic Representations of Data Noisy Channel Language Model Prompting for Few-Shot Text Classification Multilingual unsupervised sequence segmentation transfers to extremely low-resource languages KinyaBERT: a Morphology-aware Kinyarwanda Language Model IMPLI: Investigating NLI Models’ Performance on Figurative Language QAConv: Question Answering on Informative Conversations Prix-LM: Pretraining for Multilingual Knowledge Base Construction ∞-former: Infinite Memory Transformer Systematic Inequalities in Language Technology Performance across the World’s Languages
CaMEL: Case Marker Extraction without Labels
Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective Leveraging Wikipedia article evolution for promotional tone detection RoMe: A Robust Metric for Evaluating Natural Language Generation Finding Structural Knowledge in Multimodal-BERT Fully Hyperbolic Neural Networks Neural Machine Translation with Phrase-Level Universal Visual Representations M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database Few-shot Named Entity Recognition with Self-describing Networks SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering
Pre-training to Match for Unified Low-shot Relation Extraction
Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View Probing Simile Knowledge from Pre-trained Language Models Entailment Graph Learning with Textual Entailment and Soft Transitivity Multitasking Framework for Unsupervised Simple Definition Generation
Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction
When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning Graph Pre-training for AMR Parsing and Generation Turning Tables: Generating Examples from Semi-structured Tables for Endowing Language Models with Reasoning Skills RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering Just Rank: Rethinking Evaluation with Word and Sentence Similarities KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base Debiased Contrastive Learning of Unsupervised Sentence Representations MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators SalesBot: Transitioning from Chit-Chat to Task-Oriented Dialogues UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining XLM-E: Cross-lingual Language Model Pre-training via ELECTRA Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing Can Explanations Be Useful for Calibrating Black Box Models? ReACC: A Retrieval-Augmented Code Completion Framework Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning An Empirical Study of Memorization in NLP AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages On Vision Features in Multimodal Machine Translation CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning Learning to Rank Visual Stories From Human Ranking Data Universal Conditional Masked Language Pre-training for Neural Machine Translation CARETS: A Consistency And Robustness Evaluative Test Suite for VQA Achieving Reliable Human Assessment of Open-Domain Dialogue Systems ASPECTNEWS: Aspect-Oriented Summarization of News Documents
MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes
Multilingual Detection of Personal Employment Status on Twitter
MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data Transformers in the loop: Polarity in neural models of language Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher Reinforcement Guided Multi-Task Learning Framework for Low-Resource Stereotype Detection Letters From the Past: Modeling Historical Sound Change Through Diachronic Character Embeddings A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation Low-Rank Softmax Can Have Unargmaxable Classes in Theory but Rarely in Practice
Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction
A Statutory Article Retrieval Dataset in French ParaDetox: Detoxification with Parallel Data Interpreting Character Embeddings With Perceptual Representations: The Case of Shape, Sound, and Color Fine-Grained Controllable Text Generation Using Non-Residual Prompting Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features Length Control in Abstractive Summarization by Pretraining Information Selection CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation An Empirical Study on Explanations in Out-of-Domain Settings What Makes Reading Comprehension Questions Difficult? A Rationale-Centric Framework for Human-in-the-loop Machine Learning Prototypical Verbalizer for Prompt-based Few-shot Tuning Clickbait Spoiling via Question Answering and Passage Retrieval BERT Learns to Teach: Knowledge Distillation with Meta Learning STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation Integrating Vectorized Lexical Constraints for Neural Machine Translation StableMoE: Stable Routing Strategy for Mixture of Experts Boundary Smoothing for Named Entity Recognition Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification Signal in Noise: Exploring Meaning Encoded in Random Character Sequences with Character-Aware Language Models Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing Interpretability for Language Learners Using Example-Based Grammatical Error Correction Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled Learning UniXcoder: Unified Cross-Modal Pre-training for Code Representation SkipBERT: Efficient Inference with Shallow Layer Skipping mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models Evaluating Factuality in Text Simplification Weakly Supervised Word Segmentation for Computational Language Documentation SciNLI: A Corpus for Natural Language Inference on Scientific Text Neural reality of argument structure constructions On the Robustness of Offensive Language Classifiers RELiC: Retrieving Evidence for Literary Claims Analyzing Generalization of Vision and Language Navigation to Unseen Outdoor Areas Adapting Coreference Resolution Models through Active Learning ChatMatch: Evaluating Chatbots by Autonomous Chat Tournaments Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions Learning to Generate Programs for Table Fact Verification via Structure-Aware Semantic Parsing Cluster & Tune: Boost Cold Start Performance in Text Classification Overcoming a Theoretical Limitation of Self-Attention Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages How Do Seq2Seq Models Perform on End-to-End Data-to-Text Generation? Probing for Labeled Dependency Trees DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding Dependency-based Mixture Language Models Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining? Entity-based Neural Local Coherence Modeling Fair and Argumentative Language Modeling for Computational Argumentation Can Pre-trained Language Models Interpret Similes as Smart as Human? CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation Lexical Knowledge Internalization for Neural Dialog Generation Modeling Syntactic-Semantic Dependency Correlations in Semantic Role Labeling Using Mixture Models Learning the Beauty in Songs: Neural Singing Voice Beautifier A Model-agnostic Data Manipulation Method for Persona-based Dialogue Generation LinkBERT: Pretraining Language Models with Document Links Ditch the Gold Standard: Re-evaluating Conversational Question Answering UniTE: Unified Translation Evaluation Program Transfer for Answering Complex Questions over Knowledge Bases
Multimodal Sarcasm Target Identification in Tweets
Flexible Generation from Fragmentary Linguistic Input Coherence boosting: When your pretrained language model is not paying enough attention Uncertainty Estimation of Transformer Predictions for Misclassification Detection VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena The Grammar-Learning Trajectories of Neural Language Models Generating Scientific Definitions with Controllable Complexity Label Semantic Aware Pre-training for Few-shot Text Classification ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation A Comparison of Strategies for Source-Free Domain Adaptation Learning Disentangled Representations of Negation and Uncertainty latent-GLAT: Glancing at Latent Variables for Parallel Text Generation PPT: Pre-trained Prompt Tuning for Few-shot Learning Deduplicating Training Data Makes Language Models Better Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities Knowledge Neurons in Pretrained Transformers Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing Few-Shot Learning with Siamese Networks and Label Tuning Inferring Rewards from Language in Context Your Answer is Incorrect... Would you like to know why? Introducing a Bilingual Short Answer Feedback Dataset Towards Better Characterization of Paraphrases SummScreen: A Dataset for Abstractive Screenplay Summarization Sparsifying Transformer Models with Trainable Representation Pooling FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning Text-Free Prosody-Aware Generative Spoken Language Modeling Lite Unified Modeling for Discriminative Reading Comprehension Bilingual alignment transfers to multilingual alignment for unsupervised parallel text mining Modeling Persuasive Discourse to Adaptively Support Students’ Argumentative Writing Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons The Moral Debater: A Study on the Computational Generation of Morally Framed Arguments BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models Are Shortest Rationales the Best Explanations for Human Understanding? Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning Voxel-informed Language Grounding Does BERT Know that the IS-A Relation Is Transitive? Pixie: Preference in Implicit and Explicit Comparisons Counterfactual Explanations for Natural Language Interfaces Data Contamination: From Memorization to Exploitation Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension Multilingual Pre-training with Language and Task Adaptation for Multilingual Text Style Transfer When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning LM-BFF-MS: Improving Few-Shot Fine-tuning of Language Models based on Multiple Soft Demonstration Memory Towards Fair Evaluation of Dialogue State Tracking by Flexible Incorporation of Turn-level Performances Hierarchical Curriculum Learning for AMR Parsing PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction To Find Waldo You Need Contextual Cues: Debiasing Who’s Waldo C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References An Embarrassingly Simple Method to Mitigate Undesirable Properties of Pretrained Language Model Tokenizers SCD: Self-Contrastive Decorrelation of Sentence Embeddings Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words Revisiting the Compositional Generalization Abilities of Neural Sequence Models Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation Direct parsing to sentiment graphs As Little as Possible, as Much as Necessary: Detecting Over- and Undertranslations with Contrastive Conditioning Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models Developmental Negation Processing in Transformer Language Models Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning UniGDD: A Unified Generative Framework for Goal-Oriented Document-Grounded Dialogue Sub-Word Alignment is Still Useful: A Vest-Pocket Method for Enhancing Low-Resource Machine Translation HYPHEN: Hyperbolic Hawkes Attention For Text Streams Focus on the Target’s Vocabulary: Masked Label Smoothing for Machine Translation Adjusting the Precision-Recall Trade-Off with Align-and-Predict Decoding for Grammatical Error Correction On the Effect of Isotropy on VAE Representations of Text An Analysis of Negation in Natural Language Understanding Corpora Probing the Robustness of Trained Metrics for Conversational Dialogue Systems How reparametrization trick broke differentially-private text representation learning Towards Consistent Document-level Entity Linking: Joint Models for Entity Linking and Coreference Resolution A Flexible Multi-Task Model for BERT Serving Understanding Game-Playing Agents with Natural Language Annotations Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition Alignment On the Importance of Effectively Adapting Pretrained Language Models for Active Learning
DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction
RFBFN: A Relation-First Blank Filling Network for Joint Relational Triple Extraction
Building a Dialogue Corpus Annotated with Expressed and Experienced Emotions What Do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification Logical Inference for Counting on Semi-structured Tables GNNer: Reducing Overlapping in Span-based NER Using Graph Neural Networks Compositional Semantics and Inference System for Temporal Order based on Japanese CCG What do Models Learn From Training on More Than Text? Measuring Visual Commonsense Knowledge Using Neural Machine Translation Methods for Sign Language Translation Flexible Visual Grounding A large-scale computational study of content preservation measures for text style transfer and paraphrase generation Explicit Object Relation Alignment for Vision and Language Navigation Exploring Cross-lingual Text Detoxification with Large Multilingual Language Models.
Pretrained Knowledge Base Embeddings for improved Sentential Relation Extraction
DoTAT: A Domain-oriented Text Annotation Tool UKP-SQUARE: An Online Platform for Question Answering Research ViLMedic: a framework for research at the intersection of vision and language in medical AI
AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark
AdapterHub Playground: Simple and Flexible Few-Shot Learning with Adapters PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts OpenPrompt: An Open-source Framework for Prompt-learning COVID-19 Claim Radar: A Structured Claim Extraction and Tracking System CogKGE: A Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous Knowledge Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks M-SENA: An Integrated Platform for Multimodal Sentiment Analysis HOSMEL: A Hot-Swappable Modularized Entity Linking Toolkit for Chinese BMInf: An Efficient Toolkit for Big Model Inference and Tuning
TimeLMs: Diachronic Language Models from Twitter
Adaptor: Objective-Centric Adaptation Framework for Language Models
QuickGraph: A Rapid Annotation Tool for Knowledge Graph Extraction from Technical Text