TanyaZhao

DialogRE-Trigger-Speaker-Prediction

DialogRE Trigger Speaker Prediction

UER-py

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

albert_zh

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

MRC4ERE_plus

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

CasRel

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

ml-visuals

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

multi-head-ere

CopyMTL

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

Entity-Relation-As-Multi-Turn-QA

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

leetcode

glyce

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

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.

pytorch_CNN_BiLSTM_CRF

NER_BERT_CRF

TreeEnc

[EMNLP 2018] On Tree-Based Neural Sentence Modeling.

corpus_process_script

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

PhosMap

A Comprehensive R Package For Analyzing Quantitative Phosphoproteomics Data

Annotated-Semantic-Relationships-Datasets

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

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.

LM-LSTM-CRF

Empower Sequence Labeling with Task-Aware Language Model

HSCRF-pytorch

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

torch_light

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

groupchat_pytorch

emnlp2017-bilstm-cnn-crf

bilm-tf

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

VQA-DT-LSTM

active-learning

models

Models built with TensorFlow

Recognizing-Textual-Entailment

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