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28 août 2017
- doi: 10.4000/books.aaccademia.1948
- eisbn: 9788899982553
https://creativecommons.org/licenses/by-nc-nd/4.0/ , info:eu-repo/semantics/openAccess
Mots-clés
linguistica computazionale riconoscimento telefonico articolare annotazione fattualità degli eventi entità chiamata rEcognition e collegamenti nei tweet italiani etichettare per messaggi social media classificazione polarità sentimenti linguistique computationelle reconnaissance téléphonique articulatoire annotation de facturation de l'événement entité appelée rEcognition et liens dans le tweets italien étiqueter les messages des médias sociaux classement polarité sentiments computational linguistics articulatory phone recognition event factuality annotation named entity rEcognition and linking in italian tweets tagging for italian social media texts sentiment polarity classification LAN009000 Linguistics CFSujets proches
Mass communication Media, The Media, Mass Mass media Medios de comunicación de masas Media Techniques de diffusion collective Moyens de communication de masse Mass media Communication de masse Médias d'informationCiter ce document
Francesco Corcoglioniti et al., « MicroNeel: Combining NLP Tools to Perform Named Entity Detection and Linking on Microposts », Accademia University Press, ID : 10.4000/books.aaccademia.1948
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Résumé
In this paper we present the MicroNeel system for Named Entity Recognition and Entity Linking on Italian microposts, which participated in the NEEL-IT task at EVALITA 2016. MicroNeel combines The Wiki Machine and Tint, two standard NLP tools, with comprehensive tweet preprocessing, the Twitter-DBpedia alignments from the Social Media Toolkit resource, and rule-based or supervised merging of produced annotations.