sxrczh's repositories
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
CoreNLP
Stanford CoreNLP: A Java suite of core NLP tools.
keras
Deep Learning for humans
DISTRE
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction - ACL 2019
ace2005parser
ACE2005事件抽取数据预处理
Event-Extraction
事件抽取相关算法汇总
relationPrediction
ACL 2019: Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
pytorch_graph-rel
A PyTorch implementation of GraphRel
multihead_joint_entity_relation_extraction
Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and relation extraction (EMNLP, 2018).
One-shot-Relational-Learning
Code for One-shot Relational Learning for Knowledge Graphs (EMNLP18)
ace2005-preprocessing
ACE 2005 corpus preprocessing for Event Extraction task
xlnet-Pytorch
Simple XLNet implementation with Pytorch Wrapper
chinese_sentiment
用tensorflow进行中文自然语言处理的情感分析
Event-Detection---Convolutional-Neural-Networks-CNN
Event Detection and Domain Adaptation with Convolutional Neural Networks
Entity-Relation-Extraction
Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取,2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
Extremely-Fine-Grained-Entity-Typing
PyTorch implementation of our paper "Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing" (NAACL19)
tensorflow_practice
tensorflow实战练习,包括强化学习、推荐系统、nlp等
ChineseNRE
中文实体关系抽取,pytorch,bilstm+attention
bert-chinese-ner
使用预训练语言模型BERT做中文NER
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
NER-BERT-pytorch
PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.
pytorch-pcnn
supervised relation extraction for PCNN (Zeng 2014) in pytorch 关系抽取
Joint-Extraction-of-Entities-and-Relations-Based-on-a-Novel-Tagging-Scheme
Joint Extraction of Entities and Relations Based on cnn+rnn
FewRel
A Large-Scale Few-Shot Relation Extraction Dataset
pytorch-relation-extraction
distant supervised relation extraction models: PCNN MIL (Zeng 2015), PCNN+ATT(Lin 2016). 关系抽取
open-entity-relation-extraction
Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.
KNET
Neural Entity Typing with Knowledge Attention
PCNN_C2SA
Source code and data for [Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction]