supersz

supersz's Stars

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python143k1.1k17k28.6k

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python39k9961.1k9.7k

• macanv/BERT-BiLSTM-CRF-NER

  Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

  Language:Python4.8k863881.3k

• Determined22/zh-NER-TF

  A very simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)

  Language:Python2.3k61127936

• crownpku/Information-Extraction-Chinese

  Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取

  Language:Python2.3k90139809

• abisee/pointer-generator

  Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

  Language:Python2.2k49155808

• jiesutd/NCRFpp

  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.

  Language:Python1.9k58172448

• keras-team/keras-contrib

  Keras community contributions

  Language:Python1.6k78242652

• deepwel/Chinese-Annotator

  Annotator for Chinese Text Corpus (UNDER DEVELOPMENT) 中文文本标注工具

  Language:JavaScript1.5k9732328

• kyzhouhzau/BERT-NER

  Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.

  Language:Python1.3k3690332

• jiesutd/YEDDA

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

  Language:Python1.1k3652298

• shiyybua/NER

  基于tensorflow深度学习的中文的命名实体识别

  Language:Python1.1k4579400

• LiyuanLucasLiu/LM-LSTM-CRF

  Empower Sequence Labeling with Task-Aware Language Model

  Language:Python8464348205

• Y1ran/NLP-BERT--ChineseVersion

  谷歌自然语言处理模型BERT：论文解析与python代码

  Language:Python845344198

• abisee/cnn-dailymail

  Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization

  Language:Python6442233307

• Moonshile/ChineseWordSegmentation

  Chinese word segmentation algorithm without corpus（无需语料库的中文分词）

  Language:Python499299120

• allenai/acl2018-semantic-parsing-tutorial

  Materials from the ACL 2018 tutorial on neural semantic parsing

  40425154

• lzhang10/maxent

  Maximum Entropy Modeling Toolkit for Python and C++

  Language:C++3864414169

• JafferWilson/Process-Data-of-CNN-DailyMail

  This repository holds the output of the repository: https://github.com/abisee/cnn-dailymail

  3734630

• ZhixiuYe/NER-pytorch

  LSTM+CRF NER

  Language:Python302109104

• vitutorial/VITutorial

  This repository stores slides for a tutorial on variational inference for NLP audiences.

  Language:TeX29719954

• stonycat/ML-in-Action-Code-and-Note

  :chart_with_upwards_trend:Machine Learning code in Python3.x. （机器学习实战 py3代码整理）Some notes about the practices:（for reference only）

  Language:Python269214175

• liuhuanyong/HyponymyExtraction

  HyponymyExtraction and Graph based on KB Schema, Baike-kb and online text extract, 基于知识概念体系，百科知识库，以及在线搜索结构化方式的词语上下位抽取与可视化展示

  Language:Python1704448

• hankcs/ID-CNN-CWS

  Source codes and corpora of paper "Iterated Dilated Convolutions for Chinese Word Segmentation"

  Language:Python13591239

• KenHBS/LDA_thesis

  Hierarchical, multi-label topic modelling with LDA

  Language:Python543018

• panyang/yuzhen_nlp_edu_tools

  NLP Education Tools by YuZhen(www.yuzhenkeji.com)

  Language:Python507046

• vered1986/UnsupervisedHypernymy

  Data and code for the experiments in: "Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection". Vered Shwartz, Enrico Santus and Dominik Schlechtweg. EACL 2017.

  Language:Python507512

• ckmarkoh/deepSeg

  A deep learning Chinese Word Segmentation toolkit

  Language:Python4571118

• ivanhe/termolator

  Chinese version of NYU's Termolator terminology extraction system. Also includes source code for the English part-of-speech tagger used in the English version.

  Language:Java17225

• WISDelft/SmartPub

  Processing pipeline for smart metadata extraction from full-text publications

  Language:Jupyter Notebook51134