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).

Recent Papers:

• UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data, Qianhui Wu, Zijia Lin, Börje F. Karlsson, Biqing Huang, Jian-Guang Lou, IJCAI 2020.
  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, Qianhui Wu, Zijia Lin, Börje F. Karlsson, Jian-Guang Lou, Biqing Huang, ACL 2020.
  Repository: https://github.com/microsoft/vert-papers/tree/master/papers/SingleMulti-TS
• Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources, Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin, AAAI 2020.
  Repository: https://github.com/microsoft/vert-papers/tree/master/papers/Meta-Cross
• Improving Entity Linking by Modeling Latent Entity Type Information, Shuang Chen, Jinpeng Wang, Feng Jiang, Chin-Yew Lin, AAAI 2020.
• Towards Improving Neural Named Entity Recognition with Gazetteers, Tianyu Liu, Jin-Ge Yao, Chin-Yew Lin, ACL 2019.
  Repository: https://github.com/lyutyuh/acl19_subtagger
• CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition, Yuying Zhu, Guoxin Wang, Börje F. Karlsson, NAACL-HLT 2019.
  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, Hui Chen, Zijia Lin, Guiguang Ding, Jian-Guang Lou, Yusen Zhang, Börje F. Karlsson, AAAI 2019.
  Repository: https://github.com/HuiChen24/NER-GRN

Related Software:

• 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.

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