Results 41 to 50 of about 15,951 (231)
Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions - DEW '09, 2009 In this paper, we describe the Argument Selection and Coercion task, currently in development for the SemEval-2 evaluation exercise scheduled for 2010. This task involves characterizing the type of compositional operation that exists between a predicate and the arguments it selects.
James Pustejovsky, Anna Rumshisky
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Research on Relation Classification Tasks Based on Cybersecurity Text
Mathematics, 2023 Relation classification is a significant task within the field of natural language processing. Its objective is to extract and identify relations between two entities in a given text.
Ze Shi, Hongyi Li, Di Zhao, Chengwei Pan
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Graph Convolutional Network for Word Sense Disambiguation
Discrete Dynamics in Nature and Society, 2021 Word sense disambiguation (WSD) is an important research topic in natural language processing, which is widely applied to text classification, machine translation, and information retrieval.
Chun-Xiang Zhang +3 more
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Applied Sciences, 2023 Relation extraction tasks aim to predict the type of relationship between two entities from a given text. However, many existing methods fail to fully utilize the semantic information and the probability distribution of the output of pre-trained language
Ping Feng +4 more
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Two knowledge-based methods for High-Performance Sense Distribution Learning [PDF]
, 2018 Knowing the correct distribution of senses within a corpus can potentially boost the performance of Word Sense Disambiguation (WSD) systems by many points.
Navigli, Roberto, Pasini, Tommaso
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Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07, 2007 The Multilingual Chinese-English lexical sample task at SemEval-2007 provides a framework to evaluate Chinese word sense disambiguation and to promote research. This paper reports on the task preparation and the results of six participants.
Peng Jin, Yunfang Wu, Shiwen Yu
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INRIASAC: Simple Hypernym Extraction Methods [PDF]
, 2015 Given a set of terms from a given domain, how can we structure them into a taxonomy without manual intervention? This is the task 17 of SemEval 2015. Here we present our simple taxonomy structuring techniques which, despite their simplicity, ranked first
Grefenstette, Gregory
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Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07, 2007 In this paper we describe the English Lexical Substitution task for SemEval. In the task, annotators and systems find an alternative substitute word or phrase for a target word in context. The task involves both finding the synonyms and disambiguating the context. Participating systems are free to use any lexical resource.
D. MCCARTHY, NAVIGLI, ROBERTO
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Affect detection from arabic tweets using ensemble and deep learning techniques
Journal of King Saud University: Computer and Information Sciences, 2022 Affect detection from text has captured the attention of researchers recently. This is due to the rapid use of social media sites (e.g. Twitter, Facebook), which allows users to express their feelings, emotions, and thoughts in textual format.
Omar AlZoubi +2 more
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A Method of Word Sense Disambiguation with Restricted Boltzmann Machine
Journal of Harbin University of Science and Technology, 2019 For polysemy phenomenon in Chinese, Restricted Boltzmann Machine (RBM) is adopted to determine the true meaning of ambiguous vocabulary where linguistic knowledge in context is used Word form, part of speech and semantic categories in four left and ...
ZHANG Chun-xiang +2 more
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