# LME

**Repository Path**: thunlp/LME

## Basic Information

- **Project Name**: LME
- **Description**: Neural Entity Typing with Language Model Enhancement
- **Primary Language**: Python
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-05-29
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Neural Entity Typing with Language Model Enhancement

Code and dataset for the following paper to this repo:

*   Ji Xin, Hao Zhu, Xu Han, Zhiyuan Liu, Maosong Sun. Put It Back: Entity Typing with Language Model Enhancement. The Conference on Empirical Methods in Natural Language Processing (EMNLP 2018). [pdf](http://aclweb.org/anthology/D18-1121)


The implementation is based on:
Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel.
"Neural Architectures for Fine Grained Entity Type Classification",
in Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2017).
[github](https://github.com/shimaokasonse/NFGEC)