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Pinned

  1. NCRF++, an Open-source Neural Sequence Labeling Toolkit. It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components. (code for COLING/ACL 2018 paper)

    Python 1.3k 327

  2. YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.

    Python 445 149

  3. Neural word segmentation with rich pretraining, code for ACL 2017 paper

    C++ 99 22

  4. Chinese NER using Lattice LSTM. Code for ACL 2018 paper.

    Python 833 268

  5. LibN3L: A light-weight neural network package for natural language

    C++ 75 31

  6. Plot the vector graph of attention based text visualisation

    Python 53 8

113 contributions in the last year

Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Mon Wed Fri

Contribution activity

September 2019

4 contributions in private repositories Sep 16 – Sep 17

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