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Treebanking user-generated content: a UD based overview of guidelines, corpora and unified recommendations
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Recognizing Hate with NLP: The Teaching Experience of the #DeactivHate Lab in Italian High Schools
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Building a Treebank in Universal Dependencies for Italian Sign Language
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Multilingual Irony Detection with Dependency Syntax and Neural Models
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How Good are Humans at Native Language Identification? A Case Study on Italian L2 writings
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UPV-28-UNITO at SemEval-2019 Task 7: Exploiting Post’s Nesting and Syntax Information for Rumor Stance Classification
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SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter
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Valerio Basile, Cristina Bosco, Elisabetta Fersini, Debora Nozza, Viviana, Patti, Francisco Manuel Rangel Pardo, Paolo Rosso, Manuela Sanguinetti. - : Association for Computational Linguistics, 2019. : country:USA, 2019. : place:Stroudsburg, 2019
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Presenting TWITTIRÒ-UD: An Italian Twitter Treebank in Universal Dependencies
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The Tenuousness of lemmatization in lexicon-based sentiment analysis
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Auxiliary Selection in Italian Intransitive Verbs: A Computational Investigation based on Annotated Corpora
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A Data Viz Platform as a Support to Study, Analyze and Understand the Hate Speech Phenomenon
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Towards an Italian lexicon for polarity classification (polarITA): A comparative analysis of lexical resources for sentiment analysis
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Experimenting the use of catenae in Phrase-Based SMT
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Sanguinetti, Manuela. - : Accademia University Press, 2015. : country:ITA, 2015. : place:Torino, 2015
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Abstract:
Following recent trends on hybridization of machine translation architectures, this paper presents an experiment on the integration of a phrase-based system with syntactically-motivated bilingual pairs, namely the so-called catenae, extracted from a dependency-based parallel treebank. The experiment consisted in combining in different ways a phrasebased translation model, as typically conceived in Phrase-Based Statistical Machine Translation, with a small set of bilingual pairs of such catenae. The main goal is to study, though still in a preliminary fashion, how such units can be of any use in improving automatic translation quality.
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URL: https://doi.org/10.4000/books.aaccademia.1548 http://books.openedition.org/aaccademia/1548?lang=it http://hdl.handle.net/2318/1661147
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Building a Corpus on a Debate on Political Reform in Twitter
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Analyzing and annotating for sentiment analysis the socio-political debate on #labuonascuola
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Proceedings of the Second Italian Conference on Computational Linguistics CLiC-it 2015
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EVENTI EValuation of Events and Temporal INformation at Evalita 2014
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Developing corpora and tools for sentiment analysis: the experience of the University of Turin group
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