Results 11 to 20 of about 15,278 (236)
SemEval-2014 Task 9: Sentiment Analysis in Twitter [PDF]
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), 2014 Sentiment analysis, microblog sentiment analysis, Twitter opinion mining, sarcasm, LiveJournal ...
Sara Rosenthal +3 more
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Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions - DEW '09, 2009 In this paper, we describe the SemEval-2010 shared task on "Linking Events and Their Participants in Discourse". This task is a variant of the classical semantic role labelling task. The novel aspect is that we focus on linking local semantic argument structures across sentence boundaries.
Josef Ruppenhofer +4 more
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SemEval-2015 Task 6: Clinical TempEval [PDF]
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), 2015 Clinical TempEval 2015 brought the temporal information extraction tasks of past TempEval campaigns to the clinical domain. Nine sub-tasks were included, covering problems in time expression identification, event expression identification and temporal relation identification.
Steven Bethard +4 more
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SemEval-2016 Task 12: Clinical TempEval [PDF]
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 2016 Clinical TempEval 2016 evaluated temporal information extraction systems on the clinical domain. Nine sub-tasks were included, covering problems in time expression identification, event expression identification and temporal relation identification. Participant systems were trained and evaluated on a corpus of clinical and pathology notes from the Mayo
Steven Bethard +5 more
openalex +3 more sources
SemEval-2021 Task 12: Learning with Disagreements [PDF]
Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), 2021 Disagreement between coders is ubiquitous in virtually all datasets annotated with human judgements in both natural language processing and computer vision. However, most supervised machine learning methods assume that a single preferred interpretation exists for each item, which is at best an idealization.
Uma, Alexandra +7 more
openaire +2 more sources
Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07, 2007 In this paper, we present the details of the Arabic Semantic Labeling task. We describe some of the features of Arabic that are relevant for the task. The task comprises two subtasks: Arabic word sense disambiguation and Arabic semantic role labeling. The task focuses on modern standard Arabic.
Mona Diab +5 more
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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 This task consists of recognizing words and phrases that evoke semantic frames as defined in the FrameNet project (http://framenet.icsi.berkeley.edu), and their semantic dependents, which are usually, but not always, their syntactic dependents (including subjects). The training data was FN annotated sentences.
Collin F. Baker +2 more
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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 +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 +5 more
openaire +3 more sources