# vert-papers

**Repository Path**: greitzmann/vert-papers

## Basic Information

- **Project Name**: vert-papers
- **Description**: This repository contains code and datasets related to entity/knowledge papers from the VERT (Versatile Entity Recognition & disambiguation Toolkit) project, by the Knowledge Computing group at Microsoft Research Asia (MSRA).
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-11-10
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

This repository contains code and datasets related to entity/knowledge papers from the VERT (**V**ersatile **E**ntity **R**ecognition & Disambiguation **T**oolkit) project, by the [Knowledge Computing](https://www.microsoft.com/en-us/research/group/knowledge-computing/) group at Microsoft Research Asia (MSRA).

# Recent Papers:

* [UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data](https://www.ijcai.org/Proceedings/2020/543), *Qianhui Wu, Zijia Lin, Börje F. Karlsson, Biqing Huang, Jian-Guang Lou*, IJCAI 2020. <br>Repository: **https://github.com/microsoft/vert-papers/tree/master/papers/UniTrans**
* [Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language](https://arxiv.org/abs/2004.12440), *Qianhui Wu, Zijia Lin, Börje F. Karlsson, Jian-Guang Lou, Biqing Huang*, ACL 2020. <br>Repository: **https://github.com/microsoft/vert-papers/tree/master/papers/SingleMulti-TS**
* [Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources](https://arxiv.org/abs/1911.06161), *Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin*, AAAI 2020. <br>Repository: **https://github.com/microsoft/vert-papers/tree/master/papers/Meta-Cross**
* [Improving Entity Linking by Modeling Latent Entity Type Information](https://arxiv.org/abs/2001.01447), *Shuang Chen, Jinpeng Wang, Feng Jiang, Chin-Yew Lin*, AAAI 2020.
* [Towards Improving Neural Named Entity Recognition with Gazetteers](https://www.aclweb.org/anthology/P19-1524/), *Tianyu Liu, Jin-Ge Yao, Chin-Yew Lin*, ACL 2019. <br>Repository: **https://github.com/lyutyuh/acl19_subtagger**
* [CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition](https://arxiv.org/abs/1904.02141), *Yuying Zhu, Guoxin Wang, Börje F. Karlsson*, NAACL-HLT 2019. <br>Repository: **https://github.com/microsoft/vert-papers/tree/master/papers/CAN-NER**
* [GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition](https://arxiv.org/abs/1907.05611), *Hui Chen, Zijia Lin, Guiguang Ding, Jian-Guang Lou, Yusen Zhang, Börje F. Karlsson*, AAAI 2019. <br>Repository: **https://github.com/HuiChen24/NER-GRN**

# Related Software:

* **[microsoft/Recognizers-Text](https://github.com/microsoft/Recognizers-Text)** - Open-source library that provides recognition and normalization/resolution of **numbers**, **units**, **date/time**, and **sequences** (e.g., phone numbers, URLs) expressed in multiple languages.

# Contributing

This project welcomes contributions and suggestions.  Most contributions require you to agree to a
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the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

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This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
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