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SemEval-2020 Task 8: Memotion Analysis- The Visuo-Lingual Metaphor! ...
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2
SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets (Sentimix) ...
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. ...
Keyword: Computer and Information Science; Natural Language Processing; Neural Network
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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3
MSIR@FIRE: A Comprehensive Report from 2013 to 2016
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4
Code mixing: a challenge for language identification in the language of social media
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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5
SemanticNet-Perception of Human Pragmatics
In: Coling 2010: Proceedings of the 2nd Workshop on Cognitive Aspects of the Lexicon (COGALEX 2010), Beijing, August 2010 (2010), 2-11
IDS OBELEX meta
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6
Low-Rate Multimode Multiband Spectral Coding of Speech
In: International journal of speech technology. - Boston, Mass. [u.a.] : Kluwer Acad. Publ. 2 (1996) 4, 317-328
OLC Linguistik
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