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agdistis

AGDISTIS - Agnostic Named Entity Disambiguation

attention-based-bilstm-relation-extraction

Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification

autoner

Learning Named Entity Tagger from Domain-Specific Dictionary

bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

chinese_segment_augment

python3实现互信息和左右熵的新词发现

clicr

Machine reading comprehension on clinical case reports

connl2003eng

CoNNL 2003 English

cvat

Computer Vision Annotation Tool (CVAT) is a web-based tool which helps to annotate video and images for Computer Vision algorithms

deep-coref

emnlp2017-bilstm-cnn-crf

BiLSTM-CNN-CRF architecture for sequence tagging

epitran

A tool for transcribing orthographic text as IPA (International Phonetic Alphabet)

feijiandumoxing

Unofficial implementation of the paper "Semi-Supervised Sequence Tagging with Bidirectional Language Models"

find-chinese-medical-words

发现新词 无监督词库生成 医学词库生成 发现未登录词

gitskills

hello-world

Test

hscrf-pytorch

ACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (http://aclweb.org/anthology/P18-2038)

keras-contrib

Keras community contributions

keras-crf-ner

keras+bi-lstm+crf，中文命名实体识别

learngit

lstm-crf-medical

构建医疗实体识别的模型，包含词典和语料标注，基于python构建

medical_ner_crfsuite

基于条件随机场的医疗电子病例的命名实体识别

multi-label-text-classification

Tensorflow+bilstm+attention+multi label text classify

ncrfpp

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)

ner

BiLSTM-ELMo-CNN(RNN)-CRF for CoNLL 2003

ner-in-chinese-text

NLP Keras BiLSTM+CRF

ner-nn

Named Entity Recognition using Bi-LSTM + CNN + CRF

neural_wsd

Word sense disambiguation using neural models, replicating https://research.google.com/pubs/pub45729.html?authuser=0

new-word-discovery

基于词频、凝聚系数和左右邻接信息熵进行新词发现

new-word-recognition

new word recognition base on the Mutual Information and the Entropy