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SemEval-2020 Task 8: Memotion Analysis- The Visuo-Lingual Metaphor! ...
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SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets (Sentimix) ...
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The 28th International Conference on Computational Linguistics 2020; ., Gustavo; Charaborty, Tanmoy; Das, Amitava; Gamback, Bjorn; Kar, Sudipta; Pandey, Suraj; Patwa, Parth; PYKL, Srinivas; Solorio, Thamar. - : Underline Science Inc., 2020
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Abstract:
We present the results of the SemEval-2020 Task 9 on Sentiment Analysis of CodeMixed Tweets (SentiMix 2020). We also release and describe our Hinglish (Hindi-English) and Spanglish (Spanish-English) corpora annotated with word-level language identification and sentence-level sentiment labels. These corpora are comprised of 20K and 19K examples, respectively. The sentiment labels are - Positive, Negative, and Neutral. SentiMix attracted 89 submissions in total including 61 teams that participated in the Hinglish contest and 28 submitted systems to the Spanglish competition. The best performance achieved was 75.0% F1 score for Hinglish and 80.6% F1 for Spanglish. We observe that BERT-like models and ensemble methods are the most common and successful approaches among the participants. ...
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Keyword:
Computer and Information Science; Natural Language Processing; Neural Network
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URL: https://dx.doi.org/10.48448/2jfv-zp67 https://underline.io/lecture/6411-semeval-2020-task-9-overview-of-sentiment-analysis-of-code-mixed-tweets-(sentimix)
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Code mixing: a challenge for language identification in the language of social media
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In: Barman, Utsab, Das, Amitava orcid:0000-0003-3418-463X , Wagner, Joachim orcid:0000-0002-8290-3849 and Foster, Jennifer orcid:0000-0002-7789-4853 (2014) Code mixing: a challenge for language identification in the language of social media. In: First Workshop on Computational Approaches to Code Switching, 25 Oct 2014, Doha, Qatar. (2014)
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