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1
MultiEmotions-it: A new dataset for opinion polarity and emotion analysis for Italian
Sprugnoli, R. (orcid:0000-0001-6861-5595). - : Accademia University Press, 2020. : country:ITA, 2020. : place:Torino, 2020
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One, no one and one hundred thousand events: Defining and processing events in an inter-disciplinary perspective
Tonelli, S.; Sprugnoli, R. (orcid:0000-0001-6861-5595). - 2016
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3
Crowdsourcing for the identification of event nominals: an experiment
Sprugnoli, R. (orcid:0000-0001-6861-5595); Lenci, A.. - : LREC, 2014. : country:ISL, 2014. : place:Reykjavik, 2014
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Annotating Causality in the TempEval-3 Corpus
Sprugnoli, R. (orcid:0000-0001-6861-5595); Speranza, M.; Mirza, P.. - : Association for Computational Linguistics, 2014. : country:SWE, 2014. : place:Gothenburg, SWEDEN, 2014
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EVENTI EValuation of Events and Temporal INformation at Evalita 2014
Tommaso, Caselli; Sprugnoli, R (orcid:0000-0001-6861-5595); Manuela, Speranza. - : Pisa University Press srl, 2014. : country:ITA, 2014. : place:Pisa, 2014
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ALCIDE: An online platform for the Analysis of Language and Content In a Digital Environment
Sara, Tonelli; Giovanni, Moretti; Sprugnoli, R (orcid:0000-0001-6861-5595). - : Pisa University Press srl, 2014. : country:ITA, 2014. : place:Pisa, 2014
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7
Automatic resolution rule assignment to multilingual temporal expressions using annotated corpora
Saquete, E.; Martinez-Barco, P.; Munoz, R.; Negri, M.; Speranza, M.; Sprugnoli, R. (orcid:0000-0001-6861-5595). - : IEEE, 2006. : country:HUN, 2006. : place:Budapest, 2006
Abstract: The knowledge-based system TERSEO was originally developed for the recognition and normalization of temporal expressions in Spanish and then extended to other languages: to English first, through the automatic translation of the temporal expressions, and then to Italian, applying a porting process where the automatic translation of the rules was combined with the extraction of expressions from an annotated corpus. In this paper we present a new automatic porting procedure, where resolution rules are automatically assigned to the temporal expressions that have been acquired in a new language, thus eliminating the need for automatic translation and consequently minimizing the errors produced. This is achieved by exploiting the rules of the temporal model, which are language independent, and the information extracted from the annotated corpus. Evaluation results of the updated version of TERSEO for English show a considerable improvement in recognition performance (+ 14% F-measure) with respect to the original system.
Keyword: information extraction; Settore L-LIN/01 - GLOTTOLOGIA E LINGUISTICA; temporal expressions
URL: https://doi.org/10.1109/TIME.2006.9
https://ieeexplore.ieee.org/abstract/document/1636002/metrics#metrics
http://hdl.handle.net/10807/132987
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Multilingual Extension of a Temporal Expression Normalizer using Annotated Corpora
Saquete, E.; Martinez-Barco, P.; Munoz, R.. - : Association for Computational Linguistics, 2006. : country:ITA, 2006. : place:Trento, 2006
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