كتاب إلكتروني
UNIMIB@NEEL-IT : Named Entity Recognition and Linking of Italian Tweets
| العنوان: | UNIMIB@NEEL-IT : Named Entity Recognition and Linking of Italian Tweets |
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| المؤلفون: | Cecchini, Flavio Massimiliano, Fersini, Elisabetta, Manchanda, Pikakshi, Messina, Enza, Nozza, Debora, Palmonari, Matteo, Sas, Cezar |
| المصدر: | Accademia University PressOpenAIRE. |
| بيانات النشر: | Accademia University Press, 2017-08-28. |
| سنة النشر: | 2017 |
| وصف مادي: | 54-59 |
| مصطلحات موضوعية: | CF, Linguistics, 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 |
| الوصف: | 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 using Conditional Random Fields, (2) Named Entity Linking by considering both Supervised and Neural-Network Language models, and (3) NIL clustering by using a graph-based approach. Questo articolo descrive il sistema proposto dal gruppo UNIMIB per il task di Named Entity Recognition and Linking applicato a tweet in lingua italiana (NEEL-IT). Il sistema, che rappresenta un approccio iniziale al problema, è costituito da tre passaggi fondamentali: (1) Named Entity Recognition tramite l’utilizzo di Conditional Random Fields, (2) Named Entity Linking considerando sia approcci supervisionati sia modelli di linguaggio basati su reti neurali, e (3) NIL clustering tramite un approccio basato su grafi. |
| نوع الوثيقة: | Chapter |
| اللغة: | English |
| ردمك: | 978-88-99982-55-3 |
| Relation: | http://books.openedition.org/aaccademia/basictei/1938; http://books.openedition.org/aaccademia/tei/1938 |
| DOI: | 10.4000/books.aaccademia.1938 |
| URL الوصول: | http://books.openedition.org/aaccademia/1938 |
| حقوق: | CC BY-NC-ND 3.0 |
| رقم الأكسشن: | edsrev.CFE8BA4D |
| قاعدة البيانات: | Openedition.org |
| ردمك: | 9788899982553 |
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| DOI: | 10.4000/books.aaccademia.1938 |