Results 21 to 30 of about 15,278 (236)
SemEval-2021 Task 1: Lexical Complexity Prediction [PDF]
Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), 2021 This paper presents the results and main findings of SemEval-2021 Task 1 - Lexical Complexity Prediction. We provided participants with an augmented version of the CompLex Corpus (Shardlow et al 2020). CompLex is an English multi-domain corpus in which words and multi-word expressions (MWEs) were annotated with respect to their complexity using a five ...
Matthew Shardlow +3 more
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Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07, 2007 We provide an overview of the metonymy resolution shared task organised within SemEval-2007. We describe the problem, the data provided to participants, and the evaluation measures we used to assess performance. We also give an overview of the systems that have taken part in the task, and discuss possible directions for future work.
K. Markert, NISSIM, MALVINA
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SemEval-2018 Task 9: Hypernym Discovery [PDF]
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018 This paper describes the SemEval 2018 Shared Task on Hypernym Discovery. We put forward this task as a complementary benchmark for modeling hypernymy, a problem which has traditionally been cast as a binary classification task, taking a pair of candidate words as input. Instead, our reformulated task is defined as follows: given an input term, retrieve
Jose Camacho-Collados +8 more
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SemEval-2015 Task 8: SpaceEval [PDF]
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), 2015 Human languages exhibit a variety of strategies for communicating spatial information, including toponyms, spatial nominals, locations that are described in relation to other locations, and movements along paths. SpaceEval is a combined information extraction and classification task with the goal of identifying and categorizing such spatial information.
Aaron Levine +5 more
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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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SemEval 2018 Task 2: Multilingual Emoji Prediction [PDF]
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018 This paper describes the results of the first shared task on Multilingual Emoji Prediction, organized as part of SemEval 2018. Given the text of a tweet, the task consists of predicting the most likely emoji to be used along such tweet. Two subtasks were proposed, one for English and one for Spanish, and participants were allowed to submit a system run
Barbieri, Francesco +7 more
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TWE‐WSD: An effective topical word embedding based word sense disambiguation
CAAI Transactions on Intelligence Technology, 2021 Word embedding has been widely used in word sense disambiguation (WSD) and many other tasks in recent years for it can well represent the semantics of words.
Lianyin Jia +5 more
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Semantic Orientation of Crosslingual Sentiments: Employment of Lexicon and Dictionaries
IEEE Access, 2023 Sentiment Analysis is a modern discipline at the crossroads of data mining and natural language processing. It is concerned with the computational treatment of public moods shared in the form of text over social networking websites.
Arslan Ali Raza +4 more
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Sentiment analysis in SemEval: a review of sentiment identification approaches
International Journal of Electrical and Computer Engineering (IJECE), 2023 <div class="page" title="Page 1"><div class="layoutArea"><div class="column"><div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p>ocial media platforms are becoming the foundations of social interactions including messaging and opinion expression.
Bousselham El Haddaoui +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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