Results 61 to 70 of about 21,648 (265)
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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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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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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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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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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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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SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)
International Workshop on Semantic Evaluation, 2022 We present the findings of SemEval-2022 Task 11 on Multilingual Complex Named Entity Recognition MULTICONER. Divided into 13 tracks, the task focused on methods to identify complex named entities (like names of movies, products and groups) in 11 ...
S. Malmasi +4 more
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SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images [PDF]
International Workshop on Semantic Evaluation, 2021 We describe SemEval-2021 task 6 on Detection of Persuasion Techniques in Texts and Images: the data, the annotation guidelines, the evaluation setup, the results, and the participating systems.
Dimitar I. Dimitrov +7 more
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Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions - DEW '09, 2009 This paper presents the task "Coreference Resolution in Multiple Languages" to be run in SemEval-2010 (5th International Workshop on Semantic Evaluations). This task aims to evaluate and compare automatic coreference resolution systems for three different languages (Catalan, English, and Spanish) by means of two ...
Recasens Potau, Marta +4 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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