Results 11 to 20 of about 16,304 (224)
SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval) [PDF]
Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023), 2023 We present the first Africentric SemEval Shared task, Sentiment Analysis for African Languages (AfriSenti-SemEval) - The dataset is available at https://github.com/afrisenti-semeval/afrisent-semeval-2023. AfriSenti-SemEval is a sentiment classification challenge in 14 African languages: Amharic, Algerian Arabic, Hausa, Igbo, Kinyarwanda, Moroccan ...
Shamsuddeen Hassan Muhammad +9 more
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Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07, 2007 The goal of this task is to allow for comparison across sense-induction and discrimination systems, and also to compare these systems to other supervised and knowledge-based systems. In total there were 6 participating systems. We reused the SemEval-2007 English lexical sample subtask of task 17, and set up both clustering-style unsupervised evaluation
Eneko Agirre, Aitor Soroa
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A hybrid approach to Twitter sentiment analysis using integration of ESN ISPBO and BERT [PDF]
Scientific ReportsSentiment analysis is an essential component of natural language processing, which focuses on extracting subjective insights, like emotions and opinions from text.
Zhaojia Chai +3 more
doaj +2 more sources
Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions - DEW '09, 2009 In this paper we describe the SemEval-2010 Cross-Lingual Lexical Substitution task, which is based on the English Lexical Substitution task run at SemEval-2007. In the English version of the task, annotators and systems had to find an alternative substitute word or phrase for a target word in context.
Ravi Sinha +2 more
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A semi supervised approach to Arabic aspect category detection using Bert and teacher-student model [PDF]
PeerJ Computer Science, 2023 Aspect-based sentiment analysis tasks are well researched in English. However, we find such research lacking in the context of the Arabic language, especially with reference to aspect category detection.
Miada Almasri +2 more
doaj +3 more sources
SemEval-2016 task 5 : aspect based sentiment analysis [PDF]
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 2016 International audienceThis paper describes the SemEval 2016 shared task on Aspect Based Sentiment Analysis (ABSA), a continuation of the respective tasks of 2014 and 2015.
Al-Ayyoub, Mahmoud +18 more
core +9 more sources
Keyphrase extraction by the use of glove and ResNeXt optimized by enhanced human evolutionary optimization (EHEO) algorithm [PDF]
Scientific ReportsKeyphrase extraction (KPE) is an essential process in natural language processing, facilitating the document content summarization for diverse uses like search engine optimization and information retrieval.
Chao Pan, Yanshu Liu, Mohammad Sarabi
doaj +2 more sources
Associating protein residues in the literature with structural data. [PDF]
Acta Crystallogr D Struct BiolA software tool is introduced for associating text mentions of protein residues with their respective residues in a protein structure, with display in a molecular viewer.Protein structures are crucial in understanding the function, mechanism and disease‐causing variants of proteins within any living cell.
Vollmar M +6 more
europepmc +2 more sources
Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07, 2007 The SemEval-2007 task to disambiguate prepositions was designed as a lexical sample task. A set of over 25,000 instances was developed, covering 34 of the most frequent English prepositions, with two-thirds of the instances for training and one-third as the test set.
Ken Litkowski, Orin Hargraves
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Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07, 2007 The TempEval task proposes a simple way to evaluate automatic extraction of temporal relations. It avoids the pitfalls of evaluating a graph of inter-related labels by defining three sub tasks that allow pairwise evaluation of temporal relations. The task not only allows straightforward evaluation, it also avoids the complexities of full temporal ...
Marc Verhagen +5 more
openaire +3 more sources