https://github.com/pkuserc/AAAI2021-MIUK-Relation-Extraction
공식 코드Multi-view Inference for Relation Extraction with Uncertain Knowledge
Papers with Code 아카이브
Document-level Relation Extraction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 4
- 보존된 평가 기록
- 4
Document-level RE aim to identify the relations of various entity pairs expressed across multiple sentences.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/qisun123/ugdre
공식 코드Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction
https://github.com/rudongyu/logire
공식 코드https://github.com/thu-bpm/rapl
공식 코드RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction
https://github.com/thudm/autore
공식 코드AutoRE: Document-Level Relation Extraction with Large Language Models
https://github.com/thunlp/DSDocRE
공식 코드Denoising Relation Extraction from Document-level Distant Supervision
https://github.com/thunlp/DocRED
공식 코드DocRED: A Large-Scale Document-Level Relation Extraction Dataset
https://github.com/tonytan48/kd-docre
공식 코드Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation
https://github.com/tonytan48/re-docred
공식 코드Revisiting DocRED -- Addressing the False Negative Problem in Relation Extraction
https://github.com/uestc-lhf/gracr
공식 코드Document-level Relation Extraction with Cross-sentence Reasoning Graph
https://github.com/veronicium/eider
공식 코드https://github.com/wisper12933/LMRC
공식 코드LLM with Relation Classifier for Document-Level Relation Extraction
https://github.com/www-ye/p3m
공식 코드https://github.com/www-ye/ssr-pu
공식 코드https://github.com/wzhouad/ATLOP
공식 코드Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling
https://github.com/xiaoyuxin1002/sais
공식 코드SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction
https://github.com/xwjim/DRN
공식 코드Discriminative Reasoning for Document-level Relation Extraction
https://github.com/xwjim/DocRE-Rec
공식 코드https://github.com/xwjim/sief
공식 코드Document-Level Relation Extraction with Sentences Importance Estimation and Focusing
https://github.com/xzascc/fcds
공식 코드FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction
https://github.com/yangzhou12/ncrl
공식 코드None Class Ranking Loss for Document-Level Relation Extraction
https://github.com/youmima/dreeam
공식 코드DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction
https://github.com/zjunlp/DocuNet
공식 코드https://huggingface.co/datasets/Soyoung/HistRED
공식 코드HistRED: A Historical Document-Level Relation Extraction Dataset
https://github.com/AndrewZhe/Three-Sentences-Are-All-You-Need
Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction
https://github.com/fenchri/edge-oriented-graph
Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs
https://github.com/pkunlp-icler/gain
Double Graph Based Reasoning for Document-level Relation Extraction
https://github.com/scofield7419/DiaRE-D2G
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
https://github.com/wutong8023/Awesome_Information_Extraction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.