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  1. NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

    Python 1.6k 394

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

    Python 606 216

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

    C++ 128 29

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

    Python 1.1k 349

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

    C++ 80 31

  6. Plot the vector graph of attention based text visualisation

    Python 121 24

81 contributions in the last year

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July 2020

7 contributions in private repositories Jul 1 – Jul 8

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