Results 21 to 30 of about 15,528 (226)

SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval)

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, Idris Abdulmumin, Seid Muhie Yimam, David Ifeoluwa Adelani, Ibrahim Said Ahmad, Nedjma Ousidhoum, Abinew Ali Ayele, Saif M. Mohammad, Meriem Beloucif, Sebastian Ruder   +9 more
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SemEval-2020 Task 5: Counterfactual Recognition [PDF]

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020
We present a counterfactual recognition (CR) task, the shared Task 5 of SemEval-2020. Counterfactuals describe potential outcomes (consequents) produced by actions or circumstances that did not happen or cannot happen and are counter to the facts (antecedent).
Huasha Zhao, Qiong Zhang, Stephen Obadinma, Xiaoyu Yang, Stan Matwin, Xiaodan Zhu   +5 more
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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, Richard J. Evans, Gustavo Henrique Paetzold, Marcos Zampieri   +3 more
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SemEval-2007 task 08 [PDF]

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, Claudio Delli Bovi, Luis Espinosa Anke, Sergio Oramas, Tommaso Pasini, Enrico Santus, Vered Shwartz, Roberto Navigli, Horacio Saggion   +8 more
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SemEval-2007 task 14 [PDF]

Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07, 2007
The "Affective Text" task focuses on the classification of emotions and valence (positive/negative polarity) in news headlines, and is meant as an exploration of the connection between emotions and lexical semantics. In this paper, we describe the data set used in the evaluation and the results obtained by the participating systems.
Strapparava C, Mihalcea R
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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, Zachary Yocum, Parisa Kordjamshidi, Seth Dworman, James Pustejovsky, Marie-Francine Moens   +5 more
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SemEval-2018 Task 1: Affect in Tweets [PDF]

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018
We present the SemEval-2018 Task 1: Affect in Tweets, which includes an array of subtasks on inferring the affectual state of a person from their tweet. For each task, we created labeled data from English, Arabic, and Spanish tweets. The individual tasks are: 1. emotion intensity regression, 2. emotion intensity ordinal classification, 3.
Mohammad Salameh, Svetlana Kiritchenko, Saif M. Mohammad, Felipe Bravo-Marquez   +3 more
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SemEval-2016 Task 4: Sentiment Analysis in Twitter [PDF]

Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 2016
This paper discusses the fourth year of the ``Sentiment Analysis in Twitter Task''. SemEval-2016 Task 4 comprises five subtasks, three of which represent a significant departure from previous editions. The first two subtasks are reruns from prior years and ask to predict the overall sentiment, and the sentiment towards a topic in a tweet. The three new
Nakov P, Ritter A, Rosenthal S, Sebastiani F, Stoyanov V   +4 more
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SemEval-2007 task 10 [PDF]

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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