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/DreamInvoker/GAIN
공식 코드Double Graph Based Reasoning for Document-level Relation Extraction
https://github.com/DreamInvoker/SIRE
공식 코드SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction
https://github.com/Hunter-DDM/cfer-document-level-RE
공식 코드Coarse-to-Fine Entity Representations for Document-level Relation Extraction
https://github.com/JohnGiorgi/seq2rel-ds
공식 코드A sequence-to-sequence approach for document-level relation extraction
https://github.com/PaddlePaddle/Research
공식 코드https://github.com/RidongHan/Correl-RE
공식 코드Document-level Relation Extraction with Relation Correlations
https://github.com/THU-BPM/Env-DocRE
공식 코드On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations
https://github.com/amazon-science/e2e-docie
공식 코드REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking
https://github.com/amodaresi/CovEReD
공식 코드Consistent Document-Level Relation Extraction via Counterfactuals
https://github.com/andrewzhe/revisit-docred
공식 코드Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED
https://github.com/ayyyq/dore
공식 코드DORE: Document Ordered Relation Extraction based on Generative Framework
https://github.com/bigai-nlco/docgnre
공식 코드https://github.com/bigdante/autore
공식 코드AutoRE: Document-Level Relation Extraction with Large Language Models
https://github.com/brightjade/prism
공식 코드https://github.com/burgerburgerburger/aa
공식 코드https://github.com/chanzuckerberg/chemdisgene
공식 코드https://github.com/chufangao/ttm-re
공식 코드https://github.com/deeplearnxmu/docre-ii
공식 코드Towards Better Document-level Relation Extraction via Iterative Inference
https://github.com/echodreamer/tpn
공식 코드TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation Extraction
https://github.com/fduyjx/rsman
공식 코드Relation-Specific Attentions over Entity Mentions for Enhanced Document-Level Relation Extraction
https://github.com/ghazalkhalighinejad/pncextract
공식 코드Extracting Polymer Nanocomposite Samples from Full-Length Documents
https://github.com/guojiapub/pemscl
공식 코드Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction
https://github.com/hongwang600/DocRed
공식 코드https://github.com/hytn/docred-hwe
공식 코드https://github.com/johngiorgi/seq2rel
공식 코드A sequence-to-sequence approach for document-level relation extraction
https://github.com/khaitran22/vaediff-docre
공식 코드VaeDiff-DocRE: End-to-end Data Augmentation Framework for Document-level Relation Extraction
https://github.com/kracr/document-level-relation-extraction
공식 코드Revisiting Document-Level Relation Extraction with Context-Guided Link Prediction
https://github.com/lavis-nlp/jerex
공식 코드An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning
https://github.com/lumia-group/lace
공식 코드Document-Level Relation Extraction with Relation Correlation Enhancement
https://github.com/nanguoshun/LSR
공식 코드Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
https://github.com/ncbi-nlp/bioredirect
공식 코드Enhancing Biomedical Relation Extraction with Directionality
https://github.com/nicpopovic/fredo
공식 코드https://github.com/nju-websoft/GLRE
공식 코드Global-to-Local Neural Networks for Document-Level Relation Extraction
https://github.com/nju-websoft/kire
공식 코드Enhancing Document-level Relation Extraction by Entity Knowledge Injection
https://github.com/oezyurty/replm
공식 코드Document-Level In-Context Few-Shot Relation Extraction via Pre-Trained Language Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.