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

Book, Conference object English OPEN
Cecchini, F; Fersini, E; Manchanda, P; Messina, E; Nozza, D; Palmonari, M; Sas, C;
(2017)
  • Publisher: Accademia 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 | Settore INF/01 - INFORMATICA | linguistique computationelle | reconnaissance téléphonique articulatoire | annotation de facturation de l'événement | 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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