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active-learning

albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

annotated-semantic-relationships-datasets

A collections of public and free annotated datasets of relationships between entities/nominals (Portuguese and English)

awesome-bert

bert nlp papers, applications and github resources ， BERT 相关论文和 github 项目

bert-ner

This is a Chinese named entity recognizer based on pytorch-pretrained-bert.

bilm-tf

Tensorflow implementation of contextualized word representations from bi-directional language models

casrel

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

copymtl

AAAI20 "CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning"

corpus_process_script

chinese and english corpus process script, python, c++, java

dialogre-trigger-speaker-prediction

DialogRE Trigger Speaker Prediction

emnlp2017-bilstm-cnn-crf

entity-relation-as-multi-turn-qa

Code for ACL 2019 : Entity-Relation Extraction as Multi-Turn Question Answering

generating-sentences-vae-lstm

glyce

Code for NeurIPS 2019 - Glyce: Glyph-vectors for Chinese Character Representations

golden-horse

Named Entity Recognition for Chinese social media (Weibo). From EMNLP 2015 paper.

groupchat_pytorch

hscrf-pytorch

ACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (https://arxiv.org/pdf/1805.03838.pdf)

leetcode

lm-lstm-crf

Empower Sequence Labeling with Task-Aware Language Model

memn2n

End-To-End Memory Network using Tensorflow

ml-visuals

Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

models

Models built with TensorFlow

mrc4ere_plus

Implementation for Paper "Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation Extraction"

multi-head-ere

ner_bert_crf

neural_sequence_labeling

A TensorFlow implementation of Neural Sequence Labeling model, which is able to tackle sequence labeling tasks such as POS Tagging, Chunking, NER, Punctuation Restoration and etc.

phosmap

A Comprehensive R Package For Analyzing Quantitative Phosphoproteomics Data

pytorch_cnn_bilstm_crf

recognizing-textual-entailment

A pyTorch implementation of models used for Recognizing Textual Entailment using the SNLI corpus

torch_light

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.