EVALITA. Evaluation of NLP and Speech Tools for Italian
Proceedings of the Final Workshop 7 December 2016, Naples
Collana dell'Associazione Italiana di Linguistica ComputazionaleÉditeur : Accademia University Press
Lieu d’édition : Torino
Publication sur OpenEdition Books : 28 août 2017
Collection : Collana dell'Associazione Italiana di Linguistica Computazionale
Année d’édition : 2016
Nombre de pages : 218
Présentation
EVALITA is the evaluation campaign of Natural Language Processing and Speech Tools for the Italian language: since 2007 shared tasks have been proposed covering the analysis of both written and spoken language with the aim of enhancing the development and dissemination of resources and technologies for Italian. EVALITA is an initiative of the Italian Association for Computational Linguistics (AILC, http://www.ai-lc.it/) and it is supported by the NLP Special Interest Group of the Italian Association for Artificial Intelligence (AI*IA, http://www.aixia.it/) and by the Italian Association of Speech Science (AISV, http://www.aisv.it/).
In this volume, we collect the reports of the tasks’ organisers and of the participants to all of the EVALITA 2016’s tasks, which are the following: ArtiPhone - Articulatory Phone Recognition; FactA - Event Factuality Annotation; NEEL-IT - Named Entity rEcognition and Linking in Italian Tweets; PoSTWITA - POS tagging for Italian Social Media Texts; QA4FAQ - Question Answering for Frequently Asked Questions; SENTIPOLC - SENTIment POLarity Classification. Notice that the volume does not include reports related to the IBM Watson Services Challenge organised by IBM Italy, but information can be found at http://www.evalita.it/2016/tasks/ibm-challenge. Before the task and participant reports, we also include an overview to the campaign that describes the tasks in more detail, provides figures on the participants, and, especially, highlights the innovations introduced at this year’s edition. An additional report presents a reflection on the outcome of two questionnaires filled by past participants and organisers of EVALITA, and of the panel “Raising Interest and Collecting Suggestions on the EVALITA Evaluation Campaign” held at CLIC-it 2015.
Sommaire
Pierpaolo Basile, Franco Cutugno, Malvina Nissim et al.
Preface to the EVALITA 2016 ProceedingsPart I: Introduction to EVALITA 2016
Pierpaolo Basile, Franco Cutugno, Malvina Nissim et al.
EVALITA 2016: Overview of the 5th Evaluation Campaign of Natural Language Processing and Speech Tools for ItalianRachele Sprugnoli, Viviana Patti et Franco Cutugno
Raising Interest and Collecting Suggestions on the EVALITA Evaluation CampaignWalter Daelemans
Keynote: Profiling the Personality of Social Media UsersPart II: EVALITA 2016: Task overviews and participants reports
Leonardo Badino
The ArtiPhon Task at Evalita 2016Anne-Lyse Minard, Manuela Speranza et Tommaso Caselli
The EVALITA 2016 Event Factuality Annotation Task (FactA)Pierpaolo Basile, Annalina Caputo, Anna Lisa Gentile et al.
Overview of the EVALITA 2016 Named Entity rEcognition and Linking in Italian Tweets (NEEL-IT) TaskGiuseppe Attardi, Daniele Sartiano, Maria Simi et al.
Using Embeddings for Both Entity Recognition and Linking in TweetsFlavio Massimiliano Cecchini, Elisabetta Fersini, Pikakshi Manchanda et al.
UNIMIB@NEEL-IT : Named Entity Recognition and Linking of Italian TweetsFrancesco Corcoglioniti, Alessio Palmero Aprosio, Yaroslav Nechaev et al.
MicroNeel: Combining NLP Tools to Perform Named Entity Detection and Linking on MicropostsVittoria Cozza, Wanda La Bruna et Tommaso Di Noia
sisinflab: an ensemble of supervised and unsupervised strategies for the NEEL-IT challenge at Evalita 2016Anne-Lyse Minard, Mohammed R. H. Qwaider et Bernardo Magnini
FBK-NLP at NEEL-IT: Active Learning for Domain AdaptationCristina Bosco, Fabio Tamburini, Andrea Bolioli et al.
Overview of the EVALITA 2016Part Of Speech on TWitter for ITAlian Task
Giuseppe Attardi et Maria Simi
Character Embeddings PoS Tagger vs HMM Tagger for TweetsAndrea Cimino et Felice Dell’Orletta
Building the state-of-the-art in POS tagging of Italian TweetsTobias Horsmann et Torsten Zesch
Building a Social Media Adapted PoS Tagger Using FlexTag – A Case Study on Italian TweetsGiulio Paci
Mivoq Evalita 2016 PosTwITA taggerPartha Pakray et Goutam Majumder
NLP–NITMZ:Part–of–Speech Tagging on Italian Social Media Text using Hidden Markov ModelBarbara Plank et Malvina Nissim
When silver glitters more than gold: Bootstrapping an Italian part-of-speech tagger for TwitterEgon W. Stemle
bot.zen @ EVALITA 2016 A minimally-deep learning PoS-tagger (trained for Italian Tweets)Annalina Caputo, Marco De Gemmis, Pasquale Lops et al.
Overview of the EVALITA 2016 Question Answering for Frequently Asked Questions (QA4FAQ) TaskDivyanshu Bhardwaj, Partha Pakray, Jereemi Bentham et al.
Question Answering System for Frequently Asked QuestionsErick R. Fonseca, Simone Magnolini, Anna Feltracco et al.
Tweaking Word Embeddings for FAQ RankingArianna Pipitone, Giuseppe Tirone et Roberto Pirrone
ChiLab4It System in the QA4FAQ CompetitionFrancesco Barbieri, Valerio Basile, Danilo Croce et al.
Overview of the Evalita 2016 SENTIment POLarity Classification TaskGiuseppe Attardi, Daniele Sartiano, Chiara Alzetta et al.
Convolutional Neural Networks for Sentiment Analysis on Italian TweetsDavide Buscaldi et Delia Irazù Hernandez-Farias
IRADABE2: Lexicon Merging and Positional Features for Sentiment Analysis in ItalianGiuseppe Castellucci, Danilo Croce et Roberto Basili
Context-aware Convolutional Neural Networks for Twitter Sentiment Analysis in ItalianAndrea Cimino et Felice Dell’Orletta
Tandem LSTM-SVM Approach for Sentiment AnalysisVito Vincenzo Covella, Berardina De Carolis, Stefano Ferilli et al.
Lacam&Int@UNIBA at the EVALITA 2016-SENTIPOLC TaskJan Deriu et Mark Cieliebak
Sentiment Analysis using Convolutional Neural Networks with Multi-Task Training and Distant Supervision on Italian TweetsEmanuele Di Rosa et Alberto Durante
Tweet2Check evaluation at Evalita Sentipolc 2016Daniela Moctezuma, Eric S. Tellez, Mario Graff et al.
On the performance of B4MSA on SENTIPOLC’16Lucia C. Passaro, Alessandro Bondielli et Alessandro Lenci
Exploiting Emotive Features for the Sentiment Polarity Classification of tweetsIrene Russo et Monica Monachini
SamskaraMinimal structural features for detecting subjectivity and polarity in Italian tweets
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