# S-LSTM

**Repository Path**: greitzmann/S-LSTM

## Basic Information

- **Project Name**: S-LSTM
- **Description**: Code for the paper: Sentence-State LSTM for Text Representation
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-01-22
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

Code for the paper: Sentence-State LSTM for Text Representation. This package consists of the code for both classification and sequence labelling. README files are included in each individual subfolder.

# Cite
@article{zhang2018slstm,  
 title={Sentence-State LSTM for Text Representation},  
 author={Zhang, Yue and Liu, Qi and Song, Linfeng},  
 booktitle={Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL)},
 year={2018}  
}