EVALITA Goes Social: Tasks, Data, and Community at the 2016 Edition

EVALITA, the evaluation campaign of Natural Language Processing and Speech Tools for the Italian language, was organised for the fifth time in 2016. Six tasks, covering both re-reruns as well as completely new tasks, and an IBM-sponsored challenge, attracted a total of 34 submissions. An innovative...

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Main Authors: Pierpaolo Basile, Viviana Patti, Francesco Cutugno, Malvina Nissim, Rachele Sprugnoli
Format: Article
Language:English
Published: Accademia University Press 2017-06-01
Series:IJCoL
Online Access:https://journals.openedition.org/ijcol/441
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author Pierpaolo Basile
Viviana Patti
Francesco Cutugno
Malvina Nissim
Rachele Sprugnoli
author_facet Pierpaolo Basile
Viviana Patti
Francesco Cutugno
Malvina Nissim
Rachele Sprugnoli
author_sort Pierpaolo Basile
collection DOAJ
description EVALITA, the evaluation campaign of Natural Language Processing and Speech Tools for the Italian language, was organised for the fifth time in 2016. Six tasks, covering both re-reruns as well as completely new tasks, and an IBM-sponsored challenge, attracted a total of 34 submissions. An innovative aspect at this edition was the focus on social media data, especially Twitter, and the use of shared data across tasks, yielding a test set with layers of annotation concerning PoS tags, sentiment information, named entities and linking, and factuality information. Differently from the previous edition(s), many systems relied on a neural architecture, and achieved best results when used. From the experience and success of this edition, also in terms of dissemination of information and data, and in terms of collaboration between organisers of different tasks, we collected some reflections and suggestions that prospective EVALITA chairs might be willing to take into account for future editions.
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institution Kabale University
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publisher Accademia University Press
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spelling doaj-art-3b915099016748c9804f2e43f9174a232024-12-09T13:21:59ZengAccademia University PressIJCoL2499-45532017-06-01319312710.4000/ijcol.441EVALITA Goes Social: Tasks, Data, and Community at the 2016 EditionPierpaolo BasileViviana PattiFrancesco CutugnoMalvina NissimRachele SprugnoliEVALITA, the evaluation campaign of Natural Language Processing and Speech Tools for the Italian language, was organised for the fifth time in 2016. Six tasks, covering both re-reruns as well as completely new tasks, and an IBM-sponsored challenge, attracted a total of 34 submissions. An innovative aspect at this edition was the focus on social media data, especially Twitter, and the use of shared data across tasks, yielding a test set with layers of annotation concerning PoS tags, sentiment information, named entities and linking, and factuality information. Differently from the previous edition(s), many systems relied on a neural architecture, and achieved best results when used. From the experience and success of this edition, also in terms of dissemination of information and data, and in terms of collaboration between organisers of different tasks, we collected some reflections and suggestions that prospective EVALITA chairs might be willing to take into account for future editions.https://journals.openedition.org/ijcol/441
spellingShingle Pierpaolo Basile
Viviana Patti
Francesco Cutugno
Malvina Nissim
Rachele Sprugnoli
EVALITA Goes Social: Tasks, Data, and Community at the 2016 Edition
IJCoL
title EVALITA Goes Social: Tasks, Data, and Community at the 2016 Edition
title_full EVALITA Goes Social: Tasks, Data, and Community at the 2016 Edition
title_fullStr EVALITA Goes Social: Tasks, Data, and Community at the 2016 Edition
title_full_unstemmed EVALITA Goes Social: Tasks, Data, and Community at the 2016 Edition
title_short EVALITA Goes Social: Tasks, Data, and Community at the 2016 Edition
title_sort evalita goes social tasks data and community at the 2016 edition
url https://journals.openedition.org/ijcol/441
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AT francescocutugno evalitagoessocialtasksdataandcommunityatthe2016edition
AT malvinanissim evalitagoessocialtasksdataandcommunityatthe2016edition
AT rachelesprugnoli evalitagoessocialtasksdataandcommunityatthe2016edition