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Distinguished representation of identical mentions in bio-entity coreference resolution [PDF]
BMC Medical Informatics and Decision Making, 2022 Background Bio-entity Coreference Resolution (CR) is a vital task in biomedical text mining. An important issue in CR is the differential representation of identical mentions as their similar representations may make the coreference more puzzling ...
Yufei Li +6 more
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Unsupervised Event Coreference Resolution [PDF]
Computational Linguistics, 2021 The task of event coreference resolution plays a critical role in many natural language processing applications such as information extraction, question answering, and topic detection and tracking. In this article, we describe a new class of unsupervised, nonparametric Bayesian models with the purpose of probabilistically inferring coreference ...
Cosmin Bejan, Sanda Harabagiu
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Bio-SCoRes: A Smorgasbord Architecture for Coreference Resolution in Biomedical Text. [PDF]
PLoS ONE, 2016 Coreference resolution is one of the fundamental and challenging tasks in natural language processing. Resolving coreference successfully can have a significant positive effect on downstream natural language processing tasks, such as information ...
Halil Kilicoglu, Dina Demner-Fushman
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EUSKOR: End-to-end coreference resolution system for Basque. [PDF]
PLoS ONE, 2019 This paper describes the process of adapting the Stanford Coreference resolution module to the Basque language, taking into account the characteristics of the language.
Ander Soraluze +3 more
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Improving protein coreference resolution by simple semantic classification [PDF]
BMC Bioinformatics, 2012 Background Current research has shown that major difficulties in event extraction for the biomedical domain are traceable to coreference. Therefore, coreference resolution is believed to be useful for improving event extraction.
Nguyen Ngan +4 more
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SkipCor: skip-mention coreference resolution using linear-chain conditional random fields. [PDF]
PLoS ONE, 2014 Coreference resolution tries to identify all expressions (called mentions) in observed text that refer to the same entity. Beside entity extraction and relation extraction, it represents one of the three complementary tasks in Information Extraction.
Slavko Žitnik +2 more
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Argument centric causal intervention for cross document event coreference resolution [PDF]
Scientific ReportsCross-document event coreference resolution (CD-ECR) is a fundamental task in natural language processing (NLP) that seeks to determine whether event mentions across multiple documents refer to the same real-world occurrence.
Long Yao +5 more
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Latent Trees for Coreference Resolution
Computational Linguistics, 2021 We describe a structure learning system for unrestricted coreference resolution that explores two key modeling techniques: latent coreference trees and automatic entropy-guided feature induction. The latent tree modeling makes the learning problem computationally feasible because it incorporates a meaningful hidden structure.
Eraldo Rezende Fernandes +2 more
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Coreference Resolution Based on High-Dimensional Multi-Scale Information [PDF]
EntropyCoreference resolution is a key task in Natural Language Processing. It is difficult to evaluate the similarity of long-span texts, which makes text-level encoding somewhat challenging.
Yu Wang +5 more
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Mehr: A Persian Coreference Resolution Corpus [PDF]
Journal of Artificial Intelligence and Data Mining, 2023 Coreference resolution is one of the essential tasks of natural languageprocessing. This task identifies all in-text expressions that refer to thesame entity in the real world. Coreference resolution is used in otherfields of natural language processing,
Hassan Haji Mohammadi +3 more
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