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van Deemter K., Computational Models of Referring: A study in cognitive science
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In: https://hal.inria.fr/hal-01533025 ; 2017, ⟨10.1017/langcog.2017.8⟩ (2017)
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Semantic Web-Mining and Deep Vision for Lifelong Object Discovery
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In: IEEE International Conference on Robotics and Automation (ICRA) ; https://hal.inria.fr/hal-01524902 ; IEEE International Conference on Robotics and Automation (ICRA), May 2017, Singapore, Singapore (2017)
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KNEWS: Using Logical and Lexical Semantics to Extract Knowledge from Natural Language
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In: Proceedings of the European Conference on Artificial Intelligence (ECAI) 2016 conference ; https://hal.inria.fr/hal-01389390 ; Proceedings of the European Conference on Artificial Intelligence (ECAI) 2016 conference, Aug 2016, The Hague, Netherlands (2016)
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A Repository of Frame Instance Lexicalizations for Generation
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In: Proceedings of the 2nd International Workshop on Natural Language Generation and the Semantic Web ; https://hal.inria.fr/hal-01389398 ; Proceedings of the 2nd International Workshop on Natural Language Generation and the Semantic Web, Sep 2016, Edinburgh, United Kingdom (2016)
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Argument Mining on Italian News Blogs
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In: Third Italian Conference on Computational Linguistics (CLiC-it 2016) & Fifth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2016) ; https://hal.inria.fr/hal-01414698 ; Third Italian Conference on Computational Linguistics (CLiC-it 2016) & Fifth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2016), Dec 2016, Naples, Italy (2016)
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Building a General Knowledge Base of Physical Objects for Robots
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In: 13th International Conference, ESWC 2016 ; https://hal.inria.fr/hal-01330142 ; 13th International Conference, ESWC 2016, May 2016, Helaklion, Greece (2016)
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A Pragma-Semantic Analysis of the Emotion/Sentiment Relation in Debates
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In: 4th International Workshop on Artificial Intelligence and Cognition ; https://hal.inria.fr/hal-01342438 ; 4th International Workshop on Artificial Intelligence and Cognition, Jul 2016, New York, United States (2016)
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Overview of the Evalita 2016 SENTIment POLarity Classification Task
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In: Proceedings of Third Italian Conference on Computational Linguistics (CLiC-it 2016) & Fifth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2016) ; https://hal.inria.fr/hal-01414731 ; Proceedings of Third Italian Conference on Computational Linguistics (CLiC-it 2016) & Fifth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2016), Dec 2016, Naples, Italy (2016)
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Abstract:
International audience ; English. The SENTIment POLarity Classification Task 2016 (SENTIPOLC), is a rerun of the shared task on sentiment classification at the message level on Italian tweets proposed for the first time in 2014 for the Evalita evaluation campaign. It includes three subtasks: subjectivity classification , polarity classification, and irony detection. In 2016 SENTIPOLC has been again the most participated EVALITA task with a total of 57 submitted runs from 13 different teams. We present the datasets – which includes an enriched annotation scheme for dealing with the impact on polarity of a figurative use of language – the evaluation methodology, and discuss results and participating systems. ; Descriviamo modalità e risul-tati della seconda edizione della campagna di valutazione di sistemi di sentiment analysis (SENTIment POLarity Classification Task), proposta nel contesto di " EVALITA 2016: Evaluation of NLP and Speech Tools for Italian ". In SENTIPOLCè SENTIPOLC`SENTIPOLCè stata valutata la capacità dei sistemi di riconoscere diversi aspetti del sentiment espresso nei messaggi Twitter in lingua italiana, con un'articolazione in tre sotto-task: subjectivity classification, polarity classification e irony detection. La cam-pagna ha suscitato nuovamente grande interesse, con un totale di 57 run inviati da 13 gruppi di partecipanti.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [INFO.INFO-WB]Computer Science [cs]/Web; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; Natural language processing and web; Sentiment analysis; Social media analysis
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URL: https://hal.inria.fr/hal-01414731/file/paper_026.pdf https://hal.inria.fr/hal-01414731/document https://hal.inria.fr/hal-01414731
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Populating a Knowledge Base with Object-Location Relations Using Distributional Semantics
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In: 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016) ; https://hal.inria.fr/hal-01403909 ; 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016), Nov 2016, Bologna, Italy. pp.34 - 50, ⟨10.1007/978-3-319-49004-5_3⟩ (2016)
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Overview of the Evalita 2016 Sentiment Polarity Classification Task
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WordNet as an Ontology for Generation
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In: WebNLG 2015 1st International Workshop on Natural Language Generation from the Semantic Web ; https://hal.inria.fr/hal-01195793 ; WebNLG 2015 1st International Workshop on Natural Language Generation from the Semantic Web, Jun 2015, Nancy, France (2015)
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From Logic to Language ; de la logique à la langue ; From Logic to Language: Natural Language Generation from Logical Forms
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In: https://hal.inria.fr/tel-01342434 ; Linguistics. University of Groningen, 2015. English (2015)
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Deep Tweets: from Entity Linking to Sentiment Analysis
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In: Proceedings of the Italian Computational Linguistics Conference (CLiC-it 2015) ; https://hal.inria.fr/hal-01342435 ; Proceedings of the Italian Computational Linguistics Conference (CLiC-it 2015), Dec 2015, Trento, Italy (2015)
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State of the Art Language Technologies for Italian: The EVALITA 2014 Perspective
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A Lesk-inspired Unsupervised Algorithm for Lexical Choice from WordNet Synsets
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In: First Italian Conference on Computational Linguistics ; https://hal.inria.fr/hal-01228924 ; First Italian Conference on Computational Linguistics, 2014, Pisa, Italy. ⟨10.12871/CLICIT2014110⟩ (2014)
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Topical tags vs . non - topical tags : towards a bipartite classification ?
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In: ISSN: 0165-5515 ; Journal of Information Science ; https://hal.inria.fr/hal-01228923 ; Journal of Information Science, SAGE Publications, 2014, ⟨10.1177/0165551515585283⟩ (2014)
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Overview of the Evalita 2014 SENTIment POLarity Classification Task
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In: Proceedings of the 4th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA'14) ; https://hal.inria.fr/hal-01228925 ; Proceedings of the 4th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA'14), 2014, Pisa, Italy. ⟨10.12871/clicit201429⟩ (2014)
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Overview of the Evalita 2014 SENTIment POLarity Classification Task
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In: Proceedings of the 4th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA'14) ; https://hal.inria.fr/hal-01195786 ; Proceedings of the 4th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA'14), Dec 2014, Pisa, France. ⟨10.12871/clicit201429⟩ (2014)
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