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.

Cecchini, F., Fersini, E., Manchanda, P., Messina, V., Nozza, D., Palmonari, M., et al. (2016). UNIMIB@NEEL-IT : Named entity recognition and linking of Italian tweets. In In Proc. of the 3rd Italian Conference on Computational Linguistics CLiC-it 2016. CEUR-WS [10.4000/books.aaccademia.1938].

UNIMIB@NEEL-IT : Named entity recognition and linking of Italian tweets

Cecchini, F;Fersini, E;Manchanda, P;Messina, V;Nozza, D;Palmonari, M;
2016

Abstract

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.
paper
Named Entity Recognition; Entity Linking
English
Fifth International Workshop EVALITA - 7 december
2016
Semeraro G.,Sprugnoli R.,Corazza A.,Nissim M.,Basile P.,Montemagni S.,Patti V.,Cutugno F.
In Proc. of the 3rd Italian Conference on Computational Linguistics CLiC-it 2016
2016
1749
open
Cecchini, F., Fersini, E., Manchanda, P., Messina, V., Nozza, D., Palmonari, M., et al. (2016). UNIMIB@NEEL-IT : Named entity recognition and linking of Italian tweets. In In Proc. of the 3rd Italian Conference on Computational Linguistics CLiC-it 2016. CEUR-WS [10.4000/books.aaccademia.1938].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/135614
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