Results 251 to 260 of about 104,722,032 (302)
Enhancing cross-evidence reasoning graph for document-level relation extraction. [PDF]
Pi Q, Lu J, Zhu T, Sun Y, Li S, Guo J.
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Integrating deep learning architectures for enhanced biomedical relation extraction: a pipeline approach. [PDF]
Sarol MJ, Hong G, Guerra E, Kilicoglu H.
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DiffFSRE: Diffusion-Enhanced Prototypical Network for Few-Shot Relation Extraction. [PDF]
Chen Y, Shi B.
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Optimized biomedical entity relation extraction method with data augmentation and classification using GPT-4 and Gemini. [PDF]
Phan CP, Phan B, Chiang JH.
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Research on joint model relation extraction method based on entity mapping. [PDF]
Tang H +5 more
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Correction to: The overview of the BioRED (Biomedical Relation Extraction Dataset) track at BioCreative VIII. [PDF]
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A Relational Framework for Information Extraction
ACM SIGMOD Record, 2016Information Extraction commonly refers to the task of populating a relational schema, having predefined underlying semantics, from textual content. This task is pervasive in contemporary computational challenges associated with Big Data. In this article we provide an overview of our work on document spanners--a relational framework for Information ...
Fagin, Ronald +3 more
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Open Hierarchical Relation Extraction
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021Open relation extraction (OpenRE) aims to extract novel relation types from open-domain corpora, which plays an important role in completing the relation schemes of knowledge bases (KBs). Most OpenRE methods cast different relation types in isolation without considering their hierarchical dependency.
Kai Zhang 0033 +7 more
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