UNIMIB@NEEL-IT: Named Entity Recognition and Linking of Italian Tweets

Book, Conference object English OPEN

Cecchini, Flavio Massimiliano; Fersini, Elisabetta; Manchanda, Pikakshi; Messina, Enza; Nozza, Debora; Palmonari, Matteo; Sas, Cezar;

(2017)

Publisher: aAccademia University Press

Related identifiers: doi: 10.4000/books.aaccademia.1938
Subject: riconoscimento telefonico articolare | étiqueter les messages des médias sociaux | Linguistics | CF | computational linguistics | Entity Linking | linguistica computazionale | entità chiamata rEcognition e collegamenti nei tweet italiani | articulatory phone recognition | sentiment polarity classification | Named Entity Recognition | named entity rEcognition and linking in italian tweets | tagging for italian social media texts | event factuality annotation | classificazione polarità sentimenti | classement polarité sentiments | annotazione fattualità degli eventi | LAN009000 | entité appelée rEcognition et liens dans le tweets italien | linguistique computationelle | reconnaissance téléphonique articulatoire | annotation de facturation de l'événement | Settore INF/01 - INFORMATICA | etichettare per messaggi social media

This paper describes the framework proposed by the UNIMIB Team for the task of Named Entity Recognition and Linking of Italian tweets (NEEL-IT). The proposed pipeline, which represents an entry level system, is composed of three main steps: (1) Named Entity Recognition ... View more

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