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FSN: Joint Entity and Relation Extraction Based on Filter Separator Network. [PDF]

Entropy (Basel)
Dai Q, Yang W, Wei F, He L, Liao Y.
europepmc   +1 more source

Self-distillation framework for document-level relation extraction in low-resource environments. [PDF]

PeerJ Comput Sci
Wu H, Zhou G, Xia Y, Liu H, Zhang T.
europepmc   +1 more source

Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction. [PDF]

J Biomed Inform
Peng C, Yang X, Smith KE, Yu Z, Chen A, Bian J, Wu Y.   +6 more
europepmc   +1 more source

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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, 2021
Open 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, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun   +7 more
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Ontology-Aware Biomedical Relation Extraction

2022
MotivationAutomatically extracting relationships from biomedical texts among multiple sorts of entities is an essential task in biomedical natural language processing with numerous applications, such as drug development or repurposing, precision medicine, and other biomedical tasks requiring knowledge discovery. Current Relation Extraction (RE) systems
Ahmad Aghaebrahimian, Maria Anisimova, Manuel Gil   +2 more
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Extractive Relations

2017
Extractive Relations explores the nature of industrial power and its role in shaping what we understand to be the global mining sector. The authors examine issues at the forefront of contemporary debates: corporate obligations in safeguarding the rights of people displaced by mining, the recognition of community rights and interests in supporting or ...
Owen, John R., Kemp, Deanna
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Document-level Relation Extraction with Relation Correlations

Neural Networks
Document-level relation extraction faces two often overlooked challenges: long-tail problem and multi-label problem. Previous work focuses mainly on obtaining better contextual representations for entity pairs, hardly address the above challenges. In this paper, we analyze the co-occurrence correlation of relations, and introduce it into the document ...
Ridong Han, Tao Peng, Benyou Wang, Lu Liu, Prayag Tiwari, Xiang Wan   +5 more
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Extracting multi-dimensional relations

Proceedings of the 20th ACM international conference on Information and knowledge management, 2011
Extracting relations among different entities from various data sources has been an important topic in data mining. While many methods focus only on a single type of relations, real world entities maintain relations that contain much richer information.
Ching-man Au Yeung, Tomoharu Iwata
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