P
Patrick Paroubek
Researcher at Centre national de la recherche scientifique
Publications - 88
Citations - 3629
Patrick Paroubek is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Parsing & Sentiment analysis. The author has an hindex of 18, co-authored 80 publications receiving 3454 citations. Previous affiliations of Patrick Paroubek include University of Paris & University of Nantes.
Papers
More filters
Proceedings Article
Twitter as a Corpus for Sentiment Analysis and Opinion Mining
Alexander Pak,Patrick Paroubek +1 more
TL;DR: This paper shows how to automatically collect a corpus for sentiment analysis and opinion mining purposes and builds a sentiment classifier, that is able to determine positive, negative and neutral sentiments for a document.
Proceedings Article
Twitter Based System: Using Twitter for Disambiguating Sentiment Ambiguous Adjectives
Alexander Pak,Patrick Paroubek +1 more
TL;DR: This system uses text messages from Twitter, a popular microblogging platform, for building a dataset of emotional texts and classifies the meaning of adjectives into positive or negative sentiment polarity according to the given context.
Proceedings Article
The French MEDIA/EVALDA Project: the Evaluation of the Understanding Capability of Spoken Language Dialogue Systems.
Laurence Devillers,Hélène Maynard,Sophie Rosset,Patrick Paroubek,Kevin McTait,Djamel Mostefa,Khalid Choukri,Laurent Charnay,Caroline Bousquet,Nadine Vigouroux,Frédéric Béchet,Laurent Romary,Jean-Yves Antoine,Jeanne Villaneau,Myriam Vergnes,Jérôme Goulian +15 more
TL;DR: This paper will present and report on the progress of the EVALDA/MEDIA project, focusing on the recording and annotating protocol of the reference dialogue corpus, to design and test an evaluation methodology to compare and diagnose the context-dependent and independent understanding capability of spoken language dialogue systems.
Proceedings Article
The GRACE French Part-Of-Speech Tagging Evaluation Task
TL;DR: The GRACE evaluation program aims at applying the Evaluation Paradigm to the evaluation of Part-of-Speech taggers for French and its four main components (corpus building, tagging procedure, lexicon building, evaluation procedure), as well as its internal organization.
Proceedings Article
Data, Annotations and Measures in EASY the Evaluation Campaign for Parsers of French.
TL;DR: The protocol of EASY the evaluation campaign for syntactic parsers of French in the EVALDA project of the TECHNOLANGUE program is presented and the results obtained by one participant on half of the corpus are illustrated.