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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 1.7k 440

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

    Python 746 261

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

    C++ 147 34

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

    Python 1.4k 402

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

    C++ 78 31

  6. Plot the vector graph of attention based text visualisation

    Python 228 45

53 contributions in the last year

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Activity overview

Contribution activity

August 2021

1 contribution in private repositories Aug 9