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Relation Extraction

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 15
평가표: 51
보존된 평가 기록: 373

Relation Extraction is the task of predicting attributes and relations for entities in a sentence. For example, given a sentence “Barack Obama was born in Honolulu, Hawaii.”, a relation classifier aims at predicting the relation of “bornInCity”. Relation Extraction is the key component for building relation knowledge graphs, and it is of crucial significance to natural language processing applications such as structured search, sentiment analysis, question answering, and summarization.

Source: Deep Residual Learning for Weakly-Supervised Relation Extraction

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

Relation Extraction

코드

https://github.com/vanikanjirangat/BioRelation-Extraction_BERT_SDP_Triplets

https://github.com/vedantc6/mtl-dts

https://github.com/voidful/NLPrep

https://github.com/wang-h/bert-relation-classification

https://github.com/wooseok-AI/Korean_e2e_CR_BERT

https://github.com/wutong8023/Awesome_Information_Extraction

https://github.com/wutong8023/Lifelong_Relation_Detection_with_Meta_Learning

https://github.com/xiangrongzeng/copy_re

https://github.com/yangyucheng000/Paper-3/tree/main/SpanQualifier

https://github.com/yangyucheng000/University/tree/main/model-2/electra

https://github.com/yangyucheng000/University/tree/main/model-3/qwen2_vl

https://github.com/yangyucheng000/papercode-2/tree/main/layout-diffusion-mindspore

https://github.com/ydtydr/hyla

https://github.com/yi-han/BERT_Relation_Extraction

https://github.com/ylqi/count-anything

https://github.com/yuanyu255/PCNN_C2SA

https://github.com/yubowen-ph/JointER

https://github.com/yubowen-ph/segment

https://github.com/yuhaozhang/tacred-relation

https://github.com/yuuun/clip_pytorch

https://github.com/yyzhuang1991/stackedlearningwithunarymodels

https://github.com/zhangxu0963/npc

https://github.com/zhao9797/RIFRE

https://github.com/zhihaozhang97/ru-ai

https://github.com/zhuzhicai/SQuAD2.0-Baseline-Test-with-BiDAF-No-Answer

https://github.com/zixinzeng-jennifer/spanbert_trans

https://github.com/zizun/symlink

https://github.com/zjunlp/openue