Topic: relation-extraction Goto Github

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artpar / languagecrunch
relation-extraction,LanguageCrunch NLP server docker image
User: artpar
nlp spacy-nlp wordnet coreference-resolution natural-language-processing sentiment-analysis relation-extraction word2vec

babelscape / rebel
relation-extraction,REBEL is a seq2seq model that simplifies Relation Extraction (EMNLP 2021).
Organization: babelscape
nlp natural-language-processing natural-language-generation relation-extraction entity-linking

bekou / multihead_joint_entity_relation_extraction
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).
User: bekou
relation-extraction entity-recognition joint-models

bramblexu / knowledge-graph-learning
relation-extraction,A curated list of awesome knowledge graph tutorials, projects and communities.
User: bramblexu
knowledge-graph knowledge-graph-embeddings relation-extraction

buppt / chinesenre
relation-extraction,中文实体关系抽取，pytorch，bilstm+attention
User: buppt
relation-extraction nre pytorch chinese bilstm-attention bilstm attention

cartus / aggcn
relation-extraction,Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)
User: cartus
graph-neural-networks graph-convolutional-networks information-extraction relation-extraction nlp deep-learning

cocacola-lab / chatie
relation-extraction,The online version is temporarily unavailable because we cannot afford the key. You can clone and run it locally. Note: we set defaul openai key. If keys exceed plan and are invalid, please tell us. The response speed depends on openai. ( sometimes, the official is too crowded and slow)
Organization: cocacola-lab
Home Page: http://124.221.16.143:5000/
chatgpt information-extraction zero-shot event-extraction ner tool nlp relation-extraction ai openai chatgpt-app event-extraciton eventexecutor llm knowledge-graph

cogcomp / cogcomp-nlp
relation-extraction,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.
Organization: cogcomp
Home Page: http://nlp.cogcomp.org/
natural-language-processing nlp big-data data-mining cogcomp lemmatizer lemmatization tokenizer transliteration pos

crownpku / information-extraction-chinese
relation-extraction,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
User: crownpku
chinese-nlp information-extraction named-entity-recognition nlp relation-extraction

fxlp / marktool
relation-extraction,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。
User: fxlp
ner relation-extraction event-extraction text-classification nested-entity-annotation nested-event-annotation iterative-annotation entity-normalization automatic-batch-annotation

gkiril / oie-resources
relation-extraction,A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.
User: gkiril
open-information-extraction information-extraction nlp nlp-resources nlp-apis literature-review papers natural-language-processing natural-language-understanding nlu

ibm / zshot
relation-extraction,Zero and Few shot named entity & relationships recognition
Organization: ibm
Home Page: https://ibm.github.io/zshot
few-shot few-shot-learning ned ner relation-extraction zero-shot zero-shot-learning spacy nlp ai

ink-usc / usc-ds-relationextraction
relation-extraction,Distantly Supervised Relation Extraction
Organization: ink-usc
natural-language-processing information-extraction relation-extraction knowledgebase machine-learning

jacen789 / relation-extraction
relation-extraction,中文关系抽取
User: jacen789
relation-extraction chinese nre bert pytorch

km1994 / nlp_paper_study
relation-extraction,该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记
User: km1994
bert relation-extraction entity-recognition attention gcn

lavis-nlp / spert
relation-extraction,PyTorch code for SpERT: Span-based Entity and Relation Transformer
Organization: lavis-nlp
joint-learning named-entity-recognition relation-extraction

lemonhu / open-entity-relation-extraction
relation-extraction,Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.
User: lemonhu
entity-relation information-extraction knowledge-base knowledge-extraction open-domain paper-implementations python3 relation-extraction

malllabiisc / reside
relation-extraction,EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
Organization: malllabiisc
relation-extraction deep-learning graph-convolutional-networks natural-language-processing distant-supervision neural-relation-extraction

modelscope / adaseq
relation-extraction,AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models
Organization: modelscope
entity-typing named-entity-recognition natural-language-processing natural-language-understanding nlp pytorch sequence-labeling word-segmentation ner relation-extraction

monarch-initiative / ontogpt
relation-extraction,LLM-based ontological extraction tools, including SPIRES
Organization: monarch-initiative
Home Page: https://monarch-initiative.github.io/ontogpt/
ai gpt-3 language-models linkml nlp oaklib relation-extraction monarchinitiative chat-gpt large-language-models

monologg / r-bert
relation-extraction,Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"
User: monologg
bert relation-extraction bert-relation-extraction pytorch relation relation-bert relation-classification

myhhub / knowledgegraph
relation-extraction,knowledge graph知识图谱,从零开始构建知识图谱
User: myhhub
knowledge-graph knowledge-management named-entity-recognition question-answering relation-extraction

plkmo / bert-relation-extraction
relation-extraction,PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper
User: plkmo
bert albert natural-language-processing nlp pytorch relation-extraction relationships

princeton-nlp / pure
relation-extraction,[NAACL 2021] A Frustratingly Easy Approach for Entity and Relation Extraction https://arxiv.org/abs/2010.12812
Organization: princeton-nlp
nlp relation-extraction

qipeng / gcn-over-pruned-trees
relation-extraction,Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)
User: qipeng
information-extraction relation-extraction nlp natural-language-processing dependency-parsing dependency-parse-trees

qq547276542 / agriculture_knowledgegraph
relation-extraction,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
User: qq547276542
knowledge-graph named-entity-recognition relation-extraction question-answering

quqxui / awesome-llm4ie-papers
relation-extraction,Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
User: quqxui
cross-domain-learning data-augmentation event-arguments event-detection event-extraction few-shot-learning in-context-learning information-extraction knowledge-graph-construction large-language-models

roomylee / awesome-relation-extraction
relation-extraction,📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
User: roomylee
awesome relation-extraction relation-classification distant-supervision deep-learning natural-language-processing nlp paper machine-learning semeval-2010

sakuranew / bert-attributeextraction
relation-extraction,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。
User: sakuranew
bert deeplearning ai knowledge-graph relation-extraction nlp feature-extraction fine-tuning attribute-extraction

shaoxiongji / knowledge-graphs
relation-extraction,A collection of research on knowledge graphs
User: shaoxiongji
Home Page: https://shaoxiongji.github.io/knowledge-graphs/
knowledge-graph representation-learning relation-extraction reasoning natural-language-processing temporal-knowledge-graph ner commonsense meta-relational-learning cross-modal

smilelight / lightnlp
relation-extraction,基于Pytorch和torchtext的自然语言处理深度学习框架。
User: smilelight
nlp pytorch torchtext srl deep-learning cws pos relation-extraction dependency-parsing sentence-similarity

taishan1994 / pytorch_triple_extraction
relation-extraction,基于pytorch的中文三元组提取（命名实体识别+关系抽取）
User: taishan1994
bert named-entity-recognition pytorch relation-extraction triple-extraction

thunlp / fewrel
relation-extraction,A Large-Scale Few-Shot Relation Extraction Dataset
Organization: thunlp
Home Page: https://thunlp.github.io/fewrel.html
natural-language-processing few-shot-learning relation-extraction

thunlp / nre
relation-extraction,Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT
Organization: thunlp
relation-extraction

thunlp / nrepapers
relation-extraction,Must-read papers on neural relation extraction (NRE)
Organization: thunlp
relation-extraction paper-list

thunlp / opennre
relation-extraction, An Open-Source Package for Neural Relation Extraction (NRE)
Organization: thunlp
relation-extraction

tongjilibo / bert4torch
relation-extraction,An elegent pytorch implement of transformers
User: tongjilibo
Home Page: https://bert4torch.readthedocs.io/
bert nlp pytorch bert4keras named-entity-recognition relation-extraction seq2seq text-classification transformers bert4torch

tsujuifu / pytorch_graph-rel
relation-extraction,A PyTorch implementation of GraphRel
User: tsujuifu
pytorch acl2019 natural-language-processing relation-extraction named-entity-recognition

wangrenyisme / shukongdashi
relation-extraction,使用知识图谱，自然语言处理，卷积神经网络等技术，基于python语言，设计了一个数控领域故障诊断专家系统
User: wangrenyisme
knowledge-graph named-entity-recognition relation-extraction question-answering

weizhepei / casrel
relation-extraction,A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.
User: weizhepei
Home Page: https://arxiv.org/abs/1909.03227
bert information-extraction keras knowledge-graph relation-extraction relational-triple-extraction

yongzhuo / macadam
relation-extraction,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。
User: yongzhuo
Home Page: https://blog.csdn.net/rensihui
tensorflow keras bert sequence-labeling text-classification relation-extraction embedding ner python3

yuanxiaosc / entity-relation-extraction
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
User: yuanxiaosc
Home Page: https://yuanxiaosc.github.io/2019/05/17/多关系抽取研究/
tensorflow entity-extraction relation-extraction pipeline-framework bert-model competition-code

yuanxiaosc / multiple-relations-extraction-only-look-once
relation-extraction,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。
User: yuanxiaosc
Home Page: https://yuanxiaosc.github.io/2019/05/28/信息抽取任务相关论文发展脉络/
relation-extraction entity-extraction information-extraction joint-models tensorflow-models bert-model

yuanxiaosc / schema-based-knowledge-extraction
relation-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。
User: yuanxiaosc
tensorflow entity-extraction relation-extraction joint-models competition-code

yuhaozhang / tacred-relation
relation-extraction,PyTorch implementation of the position-aware attention model for relation extraction
User: yuhaozhang
information-extraction relation-extraction nlp natural-language-processing

zhengyima / kg-baseline-pytorch
relation-extraction,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.
User: zhengyima
python3 pytorch deep-learning nlp relation-extraction

zjunlp / autokg
relation-extraction,Code and dataset for the paper "LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities".
Organization: zjunlp
chatgpt event-extraction gpt4 information-extraction knowledge-graph knowledge-graph-completion knowledge-graph-construction link-prediction relation-extraction relational-triple-extraction

zjunlp / deepke
relation-extraction,[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
Organization: zjunlp
Home Page: http://deepke.zjukg.cn/
knowledge-graph relation-extraction chinese named-entity-recognition attribute-extraction low-resource document-level information-extraction pytorch deepke

zjunlp / openue
relation-extraction,[EMNLP 2020] OpenUE: An Open Toolkit of Universal Extraction from Text
Organization: zjunlp
Home Page: http://openue.zjukg.org
triple-extraction relation-extraction named-entity-recognition event-extraction intent-classification slot-filling nlp-extraction-tasks openue nlp pytorch

zjunlp / promptkg
relation-extraction,PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.
Organization: zjunlp
Home Page: https://zjunlp.github.io/project/promptkg
knowledge-graph genkgc prompt-tuning relation-extraction link-prediction retrievalre demo-tuning pytorch promptkg retroprompt