relation-extraction

There are 61 repositories under relation-extraction topic.

thunlp / OpenNRE
An Open-Source Package for Neural Relation Extraction (NRE)
relation-extraction
Language:Python 3743
qq547276542 / Agriculture_KnowledgeGraph
农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策
knowledge-graph named-entity-recognition question-answering relation-extraction
Language:Python 3206
km1994 / nlp_paper_study
该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记
bert relation-extraction entity-recognition attention gcn
Language:C++ 2612
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
nlp chinese-nlp information-extraction relation-extraction named-entity-recognition
Language:Python 2001
shaoxiongji / knowledge-graphs
A collection of research on knowledge graphs
knowledge-graph representation-learning relation-extraction reasoning natural-language-processing temporal-knowledge-graph ner commonsense meta-relational-learning cross-modal knowledge-graph-completion question-answering dialogue-systems recommendation-systems information-retrieval survey paper
Language:JavaScript 1272
zjunlp / DeepKE
An Open Toolkit for Knowledge Graph Extraction and Construction
knowledge-graph relation-extraction chinese named-entity-recognition attribute-extraction low-resource document-level information-extraction pytorch deepke ner nlp few-shot prompt bert deep-learning kg multi-modal lightner knowprompt
Language:Python 1269
yuanxiaosc / 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
bert-model competition-code entity-extraction pipeline-framework relation-extraction tensorflow
Language:Python 1027
thunlp / NREPapers
Must-read papers on neural relation extraction (NRE)
paper-list relation-extraction
Language:TeX 989
roomylee / awesome-relation-extraction
📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
awesome relation-extraction relation-classification distant-supervision deep-learning natural-language-processing nlp paper machine-learning semeval-2010 new-york-times state-of-the-art acl emnlp naacl aaai nips trends
970
thunlp / NRE
Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT
relation-extraction
Language:C++ 806
smilelight / lightNLP
基于Pytorch和torchtext的自然语言处理深度学习框架。
nlp pytorch torchtext srl deep-learning cws pos relation-extraction dependency-parsing sentence-similarity text-classification python chinese language-model nature-language-process word2vec skip-gram cbow negative-sampling hierarchical-softmax
Language:Python 801
thunlp / FewRel
A Large-Scale Few-Shot Relation Extraction Dataset
few-shot-learning natural-language-processing relation-extraction
Language:Python 645
BrambleXu / knowledge-graph-learning
A curated list of awesome knowledge graph tutorials, projects and communities.
knowledge-graph knowledge-graph-embeddings relation-extraction
629
buppt / ChineseNRE
中文实体关系抽取，pytorch，bilstm+attention
relation-extraction nre pytorch chinese bilstm-attention bilstm attention
Language:Python 611
princeton-nlp / PURE
NAACL'2021: A Frustratingly Easy Approach for Entity and Relation Extraction
nlp relation-extraction
Language:Python 582
weizhepei / CasRel
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.
knowledge-graph relation-extraction relational-triple-extraction information-extraction keras bert
Language:Python 573
lavis-nlp / spert
PyTorch code for SpERT: Span-based Entity and Relation Transformer
relation-extraction named-entity-recognition joint-learning
Language:Python 520
CogComp / cogcomp-nlp
CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.
natural-language-processing nlp big-data data-mining cogcomp lemmatizer lemmatization tokenizer transliteration pos pos-tagging parts-of-speech-tagging ner named-entity-recognition relation-extraction dependency-parsing similarity natural-language-understanding
Language:Java 450
lemonhu / open-entity-relation-extraction
Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.
entity-relation relation-extraction knowledge-base knowledge-extraction paper-implementations open-domain information-extraction python3
Language:Python 438
gkiril / oie-resources
A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.
open-information-extraction information-extraction nlp nlp-resources nlp-apis literature-review papers natural-language-processing natural-language-understanding nlu oie-systems extract-information relation-extraction openie dataset data-science datascience ai big-data corpus-data
413
INK-USC / USC-DS-RelationExtraction
Distantly Supervised Relation Extraction
natural-language-processing information-extraction relation-extraction knowledgebase machine-learning
Language:C++ 403
Cartus / AGGCN
Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)
graph-neural-networks graph-convolutional-networks information-extraction relation-extraction nlp deep-learning
Language:Python 394
bekou / 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).
entity-recognition joint-models relation-extraction
Language:Python 379
qipeng / gcn-over-pruned-trees
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)
information-extraction relation-extraction nlp natural-language-processing dependency-parsing dependency-parse-trees
Language:Python 358
FXLP / MarkTool
DoTAT 是一款基于web、面向领域的通用文本标注工具，支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注，同时也支持迭代标注、嵌套实体标注和嵌套事件标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模，并设计了全新高效的标注方式，提升了用户体验和标注效率。此外，本工具增加了审核环节，可对多人的标注结果进行一致性检验、自动合并和手动调整，提高了标注结果的准确率。
ner relation-extraction event-extraction text-classification nested-entity-annotation nested-event-annotation iterative-annotation entity-normalization automatic-batch-annotation
Language:Vue 347
yuhaozhang / tacred-relation
PyTorch implementation of the position-aware attention model for relation extraction
information-extraction natural-language-processing nlp relation-extraction
Language:Python 329
yuanxiaosc / Multiple-Relations-Extraction-Only-Look-Once
Multiple-Relations-Extraction-Only-Look-Once. Just look at the sentence once and extract the multiple pairs of entities and their corresponding relations. 端到端联合多关系抽取模型，可用于 http://lic2019.ccf.org.cn/kg 信息抽取。
relation-extraction entity-extraction information-extraction joint-models tensorflow-models bert-model
Language:Python 327
yongzhuo / Macadam
Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。
tensorflow keras bert sequence-labeling text-classification relation-extraction embedding ner python3
Language:Python 302
artpar / languagecrunch
LanguageCrunch NLP server docker image
nlp spacy-nlp wordnet coreference-resolution natural-language-processing sentiment-analysis relation-extraction word2vec
Language:Python 282
zhengyima / kg-baseline-pytorch
2019百度的关系抽取比赛，使用Pytorch实现苏神的模型，F1在dev集可达到0.75，联合关系抽取，Joint Relation Extraction.
deep-learning nlp python3 pytorch relation-extraction
Language:Python 282
R-BERT
monologg / R-BERT
Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"
bert relation-extraction bert-relation-extraction pytorch relation relation-bert relation-classification
Language:Python 264
yuanxiaosc / Schema-based-Knowledge-Extraction
Code for http://lic2019.ccf.org.cn/kg 信息抽取。使用基于 BERT 的实体抽取和关系抽取的端到端的联合模型。
tensorflow entity-extraction relation-extraction joint-models competition-code
Language:Python 247
malllabiisc / RESIDE
EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
relation-extraction deep-learning graph-convolutional-networks natural-language-processing distant-supervision neural-relation-extraction
Language:CSS 245
tsujuifu / pytorch_graph-rel
A PyTorch implementation of GraphRel
pytorch acl2019 natural-language-processing relation-extraction named-entity-recognition
Language:Python 244
zjunlp / OpenUE
OpenUE是一个轻量级知识图谱抽取工具 (An Open Toolkit for Universal Extraction from Text published at EMNLP2020: https://aclanthology.org/2020.emnlp-demos.1.pdf)
triple-extraction relation-extraction named-entity-recognition event-extraction intent-classification slot-filling nlp-extraction-tasks openue nlp pytorch bert
Language:Python 242
sakuranew / BERT-AttributeExtraction
USING BERT FOR Attribute Extraction in KnowledgeGraph. fine-tuning and feature extraction. 使用基于bert的微调和特征提取方法来进行知识图谱百度百科人物词条属性抽取。
bert deeplearning ai knowledge-graph relation-extraction nlp feature-extraction fine-tuning attribute-extraction
Language:Python 239

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