Results 31 to 40 of about 15,528 (226)

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, Raddouane Chiheb, Rdouan Faizi, Abdellatif El Afia   +3 more
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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, Camacho-Collados, Jose, Ronzano, Francesco, Espinosa Anke, Luis, Ballesteros, Miguel, Basile, Valerio, Patti, Viviana, Saggion, Horacio   +7 more
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SemEval-2010 task 1 [PDF]

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, Martí, Toni, Taulé, Mariona, Màrquez Villodre, Lluís, Sapena Masip, Emilio   +4 more
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SemEval-2015 Task 10: Sentiment Analysis in Twitter [PDF]

Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), 2015
Sentiment analysis, sentiment towards a topic, quantification, microblog sentiment analysis; Twitter opinion ...
Rosenthal, Sara, Nakov, Preslav, Kiritchenko, Svetlana, Mohammad, Saif, Ritter, Alan, Stoyanov, Veselin   +5 more
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TakeLab at SemEval-2017 Task 6: #RankingHumorIn4Pages [PDF]

Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), 2017
This paper describes our system for humor ranking in tweets within the SemEval 2017 Task 6: #HashtagWars (6A and 6B). For both subtasks, we use an off-the-shelf gradient boosting model built on a rich set of features, handcrafted to provide the model with the external knowledge needed to better predict the humor in the text.
Ivan Mršić, Jan Šnajder, Domagoj Alagić, Antonio Šajatović, Marin Kukovačec, Juraj Malenica   +5 more
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Chinese Word Sense Disambiguation Based on Word translation and Part of speech

Journal of Harbin University of Science and Technology, 2020
For vocabulary ambiguity problem in Chinese, CNN (Convolution Neural Network) is adopted to determine true meaning of ambiguous vocabulary where word, part of speech and translation around its left and right adjacent words are used.
ZHANG Chunxiang, ZHAO Lingyun, GAO Xueyao   +2 more
doaj   +1 more source

SemEval-2023 Task 11: Learning with Disagreements (LeWiDi)

Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023), 2023
NLP datasets annotated with human judgments are rife with disagreements between the judges. This is especially true for tasks depending on subjective judgments such as sentiment analysis or offensive language detection. Particularly in these latter cases, the NLP community has come to realize that the approach of 'reconciling' these different ...
Leonardelli, Elisa, Uma, Alexandra, Abercrombie, Gavin, Almanea, Dina, Basile, Valerio, Fornaciari, Tommaso, Plank, Barbara, Rieser, Verena, Poesio, Massimo   +8 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
doaj   +1 more source

A survey of consumer health question answering systems

AI Magazine, Volume 44, Issue 4, Page 482-507, Winter 2023., 2023
Abstract Consumers are increasingly using the web to find answers to their health‐related queries. Unfortunately, they often struggle with formulating the questions, further compounded by the burden of having to traverse long documents returned by the search engine to look for reliable answers. To ease these burdens for users, automated consumer health
Anuradha Welivita, Pearl Pu
wiley   +1 more source

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, Rui Liu, Xue-Yao Gao, Bo Yu   +3 more
doaj   +1 more source