relation-extraction

There are 552 repositories under relation-extraction topic.

  • thunlp/OpenNRE

    An Open-Source Package for Neural Relation Extraction (NRE)

    Language:Python4.4k1223671.1k

  • 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

    Language:Python4.1k169831.6k

  • 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

    Language:C++4k698656

  • zjunlp/DeepKE

    [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

    Language:Python3.8k45596709

  • 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

    Language:Python2.3k90139809

  • shaoxiongji/knowledge-graphs

    A collection of research on knowledge graphs

    Language:JavaScript1.7k626293

  • myhhub/KnowledgeGraph

    knowledge graph知识图谱,从零开始构建知识图谱

    Language:Python1.3k463149

  • Tongjilibo/bert4torch

    An elegent pytorch implement of transformers

    Language:Python1.3k15153165

  • 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

    Language:Python1.2k2479273

  • 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).

    1.2k506136

  • thunlp/NREPapers

    Must-read papers on neural relation extraction (NRE)

    Language:TeX1k533153

  • quqxui/Awesome-LLM4IE-Papers

    Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)

    91118051

  • smilelight/lightNLP

    基于Pytorch和torchtext的自然语言处理深度学习框架。

    Language:Python8303014213

  • cocacola-lab/ChatIE

    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)

    Language:Python81262266

  • thunlp/NRE

    Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT

    Language:C++8097834309

  • princeton-nlp/PURE

    [NAACL 2021] A Frustratingly Easy Approach for Entity and Relation Extraction https://arxiv.org/abs/2010.12812

    Language:Python8021264122

  • weizhepei/CasRel

    [ACL 2020] A Novel Cascade Binary Tagging Framework for Relational Triple Extraction

    Language:Python7831683138

  • buppt/ChineseNRE

    中文实体关系抽取，pytorch，bilstm+attention

    Language:Python760947178

  • BrambleXu/knowledge-graph-learning

    A curated list of awesome knowledge graph tutorials, projects and communities.

    75841378121

  • thunlp/FewRel

    A Large-Scale Few-Shot Relation Extraction Dataset

    Language:Python7312182166

  • zjunlp/PromptKG

    PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.

    Language:Python714125776

  • lavis-nlp/spert

    PyTorch code for SpERT: Span-based Entity and Relation Transformer

    Language:Python6981469146

  • monarch-initiative/ontogpt

    LLM-based ontological extraction tools, including SPIRES

    Language:Jupyter Notebook6621821890

  • 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。

    Language:Vue617131897

  • plkmo/BERT-Relation-Extraction

    PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper

    Language:Python5931345132

  • lemonhu/open-entity-relation-extraction

    Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.

    Language:Python5321216121

  • Babelscape/rebel

    REBEL is a seq2seq model that simplifies Relation Extraction (EMNLP 2021).

    Language:Python51747773

  • gkiril/oie-resources

    A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.

    49624058

  • 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.

    Language:Java47561385144

  • Jacen789/relation-extraction

    中文关系抽取

    Language:Python45671350

  • Cartus/AGGCN

    Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)

    Language:Python43574088

  • modelscope/AdaSeq

    AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models

    Language:Python435124441

  • INK-USC/USC-DS-RelationExtraction

    Distantly Supervised Relation Extraction

    Language:C++4193220110

  • 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).

    Language:Python417826112

  • zjunlp/AutoKG

    [WWWJ 2024] LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

    Language:Python41111837

  • SapienzaNLP/relik

    Retrieve, Read and LinK: Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget (ACL 2024)

    Language:Python40262731