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Evaluating Behavioral and Linguistic Changes During Drug Treatment for Depression Using Tweets in Spanish: Pairwise Comparison Study
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In: J Med Internet Res (2020)
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Detecting Signs of Depression in Tweets in Spanish: Behavioral and Linguistic Analysis
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SemEval 2018 Task 2: Multilingual Emoji Prediction
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Abstract:
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 to one or both subtasks. In total, 49 teams participated in the English subtask and 22 teams submitted a system run to the Spanish subtask. Evaluation was carried out emoji-wise, and the final ranking was based on macro F-Score. Data and further information about this task can be found at https://competitions. codalab.org/competitions/17344.
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URL: https://doi.org/10.18653/v1/S18-1003 http://orca.cf.ac.uk/114048/
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Overview of the Evalita 2018 Italian Emoji Prediction (ITAmoji) Task
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ExTaSem! Extending, taxonomizing and semantifying domain terminologies
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Embedding a Creativity Support Tool within Computer Graphics Research
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Is This Tweet Satirical? A Computational Approach for Satire Detection in Spanish ; ¿Es satírico este tweet? Un método automático para la identificación del lenguaje satírico en español
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Collaborative editing of knowledge resources for cross-lingual text mining
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In: http://etd.adm.unipi.it/theses/available/etd-04082011-190712/ (2011)
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Multi-level mining and visualization of scientific text collections
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MultiScien: a bi-lingual natural language processing system for mining and enrichment of scientific collections
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Hypernym extraction: combining machine-learning and dependency grammar
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Detecting signs of depression in tweets in spanish: behavioral and linguistic analysis
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PDFdigest: an adaptable layout-aware PDF-to-XML textual content extractor for scientific articles
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TALN at SemEval-2016 Task 11: modelling complex words by contextual, lexical and semantic features
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Trainable citation-enhanced summarization of scientific articles
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