This is the code for our paper "Label-Specific Document Representation for Multi-Label Text Classification" If you make use of this code or the LSAN algorithm in your work, please cite the following paper:
@inproceedings{xiao2019label,
title={Label-Specific Document Representation for Multi-Label Text Classification},
author={Xiao, Lin and Huang, Xin and Chen, Boli and Jing, Liping},
booktitle={Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
pages={466--475},
year={2019}
}
Requirements: Ubuntu 16.0.4; Python 3.6.7; Pytorch 1.0.0; mxnet 1.3.1;
Reproducibility: We provide the processed dataset AAPD, put them in the folder./data/
Train: python classification.py
Processed data download: https://drive.google.com/file/d/1QoqcJkZBHsDporttTxaYWOM_ExSn7-Dz/view