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1
Modèles en Caractères pour la Détection de Polarité dans les Tweets
In: DEFT 2018 ; Atelier DEFT 2018 ; https://hal.archives-ouvertes.fr/hal-01988907 ; Atelier DEFT 2018, May 2018, Rennes, France ; https://deft.limsi.fr/2018/# (2018)
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2
ASAPP 2.0: Advancing the state-of-the-art of semantic textual similarity for Portuguese
Alves, Ana; Rodrigues, Ricardo. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2018. : OASIcs - OpenAccess Series in Informatics. 7th Symposium on Languages, Applications and Technologies (SLATE 2018), 2018
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3
Kres corpus n-grams 2.0
Dobrovoljc, Kaja. - : Centre for Language Resources and Technologies, University of Ljubljana, 2018
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4
IMP corpus n-grams 2.0
Dobrovoljc, Kaja. - : Centre for Language Resources and Technologies, University of Ljubljana, 2018
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5
Gos corpus n-grams 2.0
Dobrovoljc, Kaja. - : Centre for Language Resources and Technologies, University of Ljubljana, 2018
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6
Janes corpus n-grams 1.0
Dobrovoljc, Kaja. - : Centre for Language Resources and Technologies, University of Ljubljana, 2018
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7
Character N-Grams for Detecting Deceptive Controversial Opinions
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8
Comparing the use of lexical bundles in Indonesian-English translation by student translators and professional translators
In: Translation and Interpreting : the International Journal of Translation and Interpreting Research, Vol 10, Iss 1, Pp 53-74 (2018) (2018)
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