SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN | Paper Citation Record

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This paper cites Recon: Relation extraction using knowledge graph contextinagraphneuralnetwork.ProceedingsoftheWebConference 2021.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Recon: Relation extraction using knowledge graph contextinagraphneuralnetwork.ProceedingsoftheWebConference 2021

Reference 1

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This paper cites DiS-ReX: A multilingual dataset for distantly supervised relation extraction, in: Muresan, S., Nakov, P., Villavicencio, A.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN DiS-ReX: A multilingual dataset for distantly supervised relation extraction, in: Muresan, S., Nakov, P., Villavicencio, A

Reference 2

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This paper cites CleanGraph: Human-in-the-loop Knowledge Graph Refinement and Completion.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN CleanGraph: Human-in-the-loop Knowledge Graph Refinement and Completion

Reference 3

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This paper cites Learningtoextractrelationsfromthe web using minimal supervision, in: Proceedings of the 45th annual meetingoftheassociationofcomputationallinguistics,pp.576–583.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Learningtoextractrelationsfromthe web using minimal supervision, in: Proceedings of the 45th annual meetingoftheassociationofcomputationallinguistics,pp.576–583

Reference 4

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This paper cites Empowerdistantlysupervisedrelationextractionwithcollab- orative adversarial training, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Empowerdistantlysupervisedrelationextractionwithcollab- orative adversarial training, in: Proceedings of the AAAI Conference on Artificial Intelligence, pp

Reference 5

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SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Unresolved cited work

Reference 6

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This paper cites Improving distantly-supervised relationextractionthroughbert-basedlabelandinstanceembeddings.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Improving distantly-supervised relationextractionthroughbert-basedlabelandinstanceembeddings

Reference 7

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This paper cites mlco2/codecarbon: v2.4.1.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN mlco2/codecarbon: v2.4.1

Reference 8

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This paper cites Constructing biological knowl- edgebasesbyextractinginformationfromtextsources.,in:ISMB,pp.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Constructing biological knowl- edgebasesbyextractinginformationfromtextsources.,in:ISMB,pp

Reference 9

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This paper cites A survey on relation extraction.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN A survey on relation extraction

Reference 10

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This paper cites Exploitingglobalcontextandexternal knowledge for distantly supervised relation extraction.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Exploitingglobalcontextandexternal knowledge for distantly supervised relation extraction

Reference 11

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This paper cites Manual evaluation matters: Reviewing test protocols of distantly supervised relation extraction, in: Zong, C., Xia, F., Li, W., Navigli, R.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Manual evaluation matters: Reviewing test protocols of distantly supervised relation extraction, in: Zong, C., Xia, F., Li, W., Navigli, R

Reference 12

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Reference 13

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This paper cites Knowledgegraphs.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Knowledgegraphs

Reference 14

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This paper cites An Overview of Distant Supervision for Relation Extraction with a Focus on Denoising and Pre-training Methods.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN An Overview of Distant Supervision for Relation Extraction with a Focus on Denoising and Pre-training Methods

Reference 15

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Reference 16

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SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Unresolved cited work

Reference 17

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SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Unresolved cited work

Reference 18

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This paper cites Supervised contrastive learning.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Supervised contrastive learning

Reference 19

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This paper cites Hiclre: A hierarchical contrastive learning framework for distantly supervised relationextraction,in:FindingsoftheAssociationforComputational Linguistics: ACL 2022, pp.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Hiclre: A hierarchical contrastive learning framework for distantly supervised relationextraction,in:FindingsoftheAssociationforComputational Linguistics: ACL 2022, pp

Reference 20

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This paper cites Self-distilled transitive instance weighting for denoised distantly supervised relation extraction, in: Findings of the Association for Computational Linguistics: EMNLP 2023, pp.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Self-distilled transitive instance weighting for denoised distantly supervised relation extraction, in: Findings of the Association for Computational Linguistics: EMNLP 2023, pp

Reference 21

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This paper cites Knowledge graph attention mechanism for distant supervision neural relation extraction.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Knowledge graph attention mechanism for distant supervision neural relation extraction

Reference 22

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This paper cites Distantsupervision for relation extraction without labeled data, in: Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th L.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Distantsupervision for relation extraction without labeled data, in: Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th L

Reference 23

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Reference 24

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This paper cites Uni- fying Large Language Models and Knowledge Graphs: A Roadmap.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Uni- fying Large Language Models and Knowledge Graphs: A Roadmap

Reference 25

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This paper cites The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities

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SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Knowledge graphs: Opportunities and challenges

Reference 27

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Reference 29

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Reference 31

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SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN The principles of deep learning theory

Reference 32

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This paper cites Match- ing the blanks: Distributional similarity for relation learning, in: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Match- ing the blanks: Distributional similarity for relation learning, in: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp

Reference 33

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Reference 34

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SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Unresolved cited work

Reference 36

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This paper cites Rescueimplicitandlong-tailcases:Nearestneighborrelationextrac- tion, in: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pp.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Rescueimplicitandlong-tailcases:Nearestneighborrelationextrac- tion, in: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pp

Reference 37

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Reference 38

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SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN A survey of human-in-the-loop for machine learning

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This paper cites Investigating why contrastive learning benefits robustness against label noise, in: International Conference on Machine Learning, PMLR.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Investigating why contrastive learning benefits robustness against label noise, in: International Conference on Machine Learning, PMLR

Reference 40

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This paper cites Distantly supervised relation extrac- tion via contextual information interaction and relation embeddings.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Distantly supervised relation extrac- tion via contextual information interaction and relation embeddings

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This paper cites Distant supervision for relation extraction with hierarchical attention-based networks.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Distant supervision for relation extraction with hierarchical attention-based networks

Reference 42

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SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN A Bidirectional Extraction-Then-Evaluation Framework for Complex Relation Extraction

Reference 43

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This paper cites A comprehensive survey on relation extraction: Recent advances and new frontiers.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN A comprehensive survey on relation extraction: Recent advances and new frontiers

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This paper cites ExploringPrivileged Features for Relation Extraction With Contrastive Student-Teacher Learning.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN ExploringPrivileged Features for Relation Extraction With Contrastive Student-Teacher Learning

Reference 45

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This paper cites Distantly supervised relation extraction with kb-enhanced reconstructed latent iterative graph networks.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN Distantly supervised relation extraction with kb-enhanced reconstructed latent iterative graph networks

Reference 46

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SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN 2580–2585

Reference 2023

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This paper cites arXiv preprint arXiv:2411.09539.

SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN arXiv preprint arXiv:2411.09539

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