anno di pubblicazione 2018
pp. 281
ISBN pdf 9788831978422
DOI 10.4000/books.aaccademia.4421
EVALITA is a periodic evaluation campaign of Natural Language Processing (NLP) and speech tools for the Italian language.
The general objective of EVALITA is to promote the development of language and speech technologies for the Italian language, providing a shared framework where different systems and approaches can be evaluated in a consistent manner.
The diffusion of shared tasks and shared evaluation practices is a crucial step towards the development of resources and tools for NLP and speech sciences. The good response obtained by EVALITA, both in the number of participants and in the quality of results, showed that it is worth pursuing such goals for the Italian language.
As a side effect of the evaluation campaign, both training and test data are available to the scientific community as benchmarks for future improvements.
EVALITA is an initiative of the Italian Association for Computational Linguistics (AILC) and it is endorsed by the Italian Association for Artificial Intelligence (AI*IA) and the Italian Association for Speech Sciences (AISV).
Dipartimento di Informatica. Università degli Studi di Bari Aldo Moro, Italy
Viviana Patti, University of Turin, Italy
PRHLT Research Center. Universitat Politcnica de Valncia, Spain
Preface to the Evalita 2018 Proceedings |
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pdf 58.5 KB |
EVALITA2018-00 | 0,00 € |
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Caselli-Novielli-Patti et al., Evalita 2018: Overview on the 6th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian |
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pdf 90.6 KB |
EVALITA2018-01 | 0,00 € |
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Mohammad, The Search for Emotions, Creativity, and Fairness in Language |
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pdf 36 KB |
EVALITA2018-02 | 0,00 € |
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P.Basile-V.Basile-Croce et al., Overview of the EVALITA 2018. Aspect-based Sentiment Analysis task (ABSITA) |
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pdf 157.4 KB |
EVALITA2018-03 | 0,00 € |
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Ronzano-Barbieri-Pamungkas et al., Overview of the EVALITA 2018 Italian Emoji Prediction (ITAMoji) Task |
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pdf 278.9 KB |
EVALITA2018-04 | 0,00 € |
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Cignarella-Frenda-Basile et al., Overview of the EVALITA 2018 Task on Irony Detection in Italian Tweets (IronITA) |
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pdf 167 KB |
EVALITA2018-05 | 0,00 € |
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Dell’Orletta-Nissim, Overview of the EVALITA 2018 Cross-Genre Gender Prediction (GxG) Task |
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pdf 181.5 KB |
EVALITA2018-06 | 0,00 € |
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P.Basile-Novielli, Overview of the Evalita 2018 itaLIan Speech acT labEliNg (iLISTEN) Task |
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pdf 186.5 KB |
EVALITA2018-07 | 0,00 € |
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Cutugno-Di Maro-Falcone et al., Overview of the EVALITA 2018 Evaluation of Italian DIALogue systems (IDIAL) Task |
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pdf 321.1 KB |
EVALITA2018-08 | 0,00 € |
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Fersini-Nozza-Rosso, Overview of the Evalita 2018 Task on Automatic Misogyny Identification (AMI) |
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pdf 150.7 KB |
EVALITA2018-09 | 0,00 € |
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Bosco-Dell’Orletta-Poletto et al., Overview of the EVALITA 2018 Hate Speech Detection Task |
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pdf 122.9 KB |
EVALITA2018-10 | 0,00 € |
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Basile-de Gemmis-Siciliani et al., Overview of the EVALITA 2018 Solving language games (NLP4FUN) Task |
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pdf 46.2 KB |
EVALITA2018-11 | 0,00 € |
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Di Maro-Origlia-Cutugno, Overview of the EVALITA 2018 Spoken Utterances Guiding Chef’s Assistant Robots (SUGAR) Task |
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pdf 773.9 KB |
EVALITA2018-12 | 0,00 € |
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Cimino-De Mattei-Dell’Orletta, Multi-task Learning in Deep Neural Networks at EVALITA 2018 |
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pdf 159 KB |
EVALITA2018-13 | 0,00 € |
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Delmonte, ItVENSES - A Symbolic System for Aspect-Based Sentiment Analysis |
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pdf 102 KB |
EVALITA2018-14 | 0,00 € |
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Di Rosa-Durante, Aspect-based Sentiment Analysis: X2Check at ABSITA 2018 |
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pdf 79.9 KB |
EVALITA2018-15 | 0,00 € |
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Nicola, Bidirectional Attentional LSTM for Aspect Based Sentiment Analysis on Italian |
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pdf 170.6 KB |
EVALITA2018-16 | 0,00 € |
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Bennici-Portocarrero, Ensemble of LSTMs for EVALITA 2018 Aspect-based Sentiment Analysis task (ABSITA |
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pdf 117.9 KB |
EVALITA2018-17 | 0,00 € |
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Anderson, Fully Convolutional Networks for Text Classification |
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pdf 429.1 KB |
EVALITA2018-18 | 0,00 € |
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Di Sarli-Gallicchio-Micheli, ITAmoji 2018: Emoji Prediction via Tree Echo State Networks |
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pdf 357.3 KB |
EVALITA2018-19 | 0,00 € |
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Siciliani-Girardi, The UNIBA System at the EVALITA 2018 Italian Emoji Prediction Task |
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pdf 121.2 KB |
EVALITA2018-20 | 0,00 € |
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Coman-Nechaev-Zara, Predicting Emoji Exploiting Multimodal Data: FBK Participation in ITAmoji Task |
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pdf 506 KB |
EVALITA2018-21 | 0,00 € |
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Bennici-Portocarrero, The validity of word vectors over the time for the EVALITA 2018 Emoji prediction task (ITAmoji). |
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pdf 334.8 KB |
EVALITA2018-22 | 0,00 € |
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Santilli-Croce-Basili, A Kernel-based Approach for Irony and Sarcasm detection in Italian |
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pdf 224.8 KB |
EVALITA2018-23 | 0,00 € |
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P.Basile-Semeraro, UNIBA - Integrating distributional semantics features in a supervised approach for detecting irony in Italian tweets |
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pdf 122.9 KB |
EVALITA2018-24 | 0,00 € |
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Di Rosa-Durante, Irony detection in tweets: X2Check at Ironita 2018 |
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pdf 70 KB |
EVALITA2018-25 | 0,00 € |
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Giudice, Aspie96 at IronITA (EVALITA 2018): Irony Detection in Italian Tweets with Character-Level Convolutional RNN |
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pdf 216.6 KB |
EVALITA2018-26 | 0,00 € |
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Ortega-Bueno-Pagola, UO_IRO: Linguistic informed deep-learning model for irony detection |
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pdf 193.6 KB |
EVALITA2018-27 | 0,00 € |
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A.Basile-Dwyer-Rubagotti, CapetownMilanoTirana for GxG at Evalita2018. Simple n-gram based models perform well for gender prediction. Sometimes |
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pdf 91 KB |
EVALITA2018-28 | 0,00 € |
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Croce-Basili, A Markovian Kernel-based Approach for itaLIan Speech acT labEliNg |
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pdf 251.9 KB |
EVALITA2018-29 | 0,00 € |
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Shushkevich-Cardiff, Misogyny Detection and Classification in English Tweets: The Experience of the ITT Team |
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pdf 399.7 KB |
EVALITA2018-30 | 0,00 € |
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Frenda-Ghanem-Guzmán-Falcón et al., Automatic Expansion of Lexicons for Multilingual Misogyny Detection |
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pdf 169.9 KB |
EVALITA2018-31 | 0,00 € |
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Ahluwalia-Soni-Callow et al., Detecting Hate Speech Against Women in English Tweets |
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pdf 129.1 KB |
EVALITA2018-32 | 0,00 € |
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Pamungkas-Cignarella-V.Basile et al., Automatic Identification of Misogyny in English and Italian Tweets at EVALITA 2018 with a Multilingual Hate Lexicon |
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pdf 250.2 KB |
EVALITA2018-33 | 0,00 € |
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A.Basile-Rubagotti, CrotoneMilano for AMI at Evalita2018. A performant, cross-lingual misogyny detection system |
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pdf 98.3 KB |
EVALITA2018-34 | 0,00 € |
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Bakarov, Vector Space Models for Automatic Misogyny Identification |
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pdf 71.2 KB |
EVALITA2018-35 | 0,00 € |
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Buscaldi, Tweetaneuse @ AMI EVALITA2018: Character-based Models for the Automatic Misogyny Identification Task |
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pdf 152.5 KB |
EVALITA2018-36 | 0,00 € |
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Fortuna-Bonavita-Nunes, Merging datasets for hate speech classification in Italian. |
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pdf 151.5 KB |
EVALITA2018-37 | 0,00 € |
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Polignano-P.Basile, HanSEL: Italian Hate Speech detection through Ensemble Learning and D |
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pdf 100.1 KB |
EVALITA2018-38 | 0,00 € |
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Corazza-Arslan-Menini et al., Comparing Different Supervised Approaches to Hate Speech Detection |
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pdf 99.3 KB |
EVALITA2018-39 | 0,00 € |
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De la Peña Sarracén-Pons-Muñiz Cuza et al., Hate Speech Detection using Attention-based LSTM |
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pdf 743.6 KB |
EVALITA2018-40 | 0,00 € |
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Santucci-Spina-Milani et al., Detecting Hate Speech for Italian Language in Social Medi |
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pdf 157.1 KB |
EVALITA2018-41 | 0,00 € |
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Bai-Merenda-Zaghi et al., Nissim RuG @ EVALITA 2018: Hate Speech Detection In Italian Social Media |
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pdf 154.8 KB |
EVALITA2018-42 | 0,00 € |
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Bianchini-Ferri-Giorni, Text analysis for hate speech detection in Italian messages on Twitter and Facebook |
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pdf 145.8 KB |
EVALITA2018-43 | 0,00 € |
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Sangati-Pascucci-Monti, Exploiting Multiword Expressions to solve “La Ghigliottina”. |
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pdf 777.7 KB |
EVALITA2018-44 | 0,00 € |
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Squadrone, Computer challenges guillotine: how an artificial player can solve a complex language TV game with web data analysis |
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pdf 209.3 KB |
EVALITA2018-45 | 0,00 € |
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Magnolini-Balaraman,Guerini et al., The Perfect Recipe: Add SUGAR, Add Data |
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pdf 156.8 KB |
EVALITA2018-46 | 0,00 € |
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