publication . Book . Part of book or chapter of book . 2017

Building a Social Media Adapted PoS Tagger Using FlexTag -- A Case Study on Italian Tweets.

Tobias Horsmann; Torsten Zesch;
Open Access English
  • Published: 28 Aug 2017
  • Publisher: Accademia University Press
Abstract
We present a detailed description of our submission to the PoSTWITA shared-task for PoS tagging of Italian social media text. We train a model based on FlexTag using only the provided training data and external resources like word clusters and a PoS dictionary which are build from publicly available Italian corpora. We find that this minimal adaptation strategy, which already worked well for German social media data, is also highly effective for Italian. Vi presentiamo una descrizione dettagliata della nostra partecipazione al task di PoS tagging for Italian Social Media Texts (PoSTWITA). Abbiamo creato un modello basato su FlexTag utilizzando solo i dati fornit...
Subjects
free text keywords: 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, Linguistics, LAN009000, CF, Social media, Engineering, business.industry, business, Natural language processing, computer.software_genre, computer, Artificial intelligence
Communities
Digital Humanities and Cultural Heritage
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Book . 2017
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http://dx.doi.org/10.4000/book...
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