This paper summarizes the participation of UNIMIB team in the Named Entity rEcognition and Linking (NEEL) Challenge in #Microposts2016. In this paper, we propose a knowledge-base approach for identifying and linking named entities from tweets. The named entities are, further, classified using evidence provided by our entity linking algorithm and type-casted into Microposts categories.

Caliano, D., Fersini, E., Manchanda, P., Palmonari, M., Messina, V. (2016). UniMiB: Entity linking in tweets using Jaro-Winkler distance, popularity and coherence. In Proceedings of the 6th Workshop on 'Making Sense of Microposts' co-located with the 25th International World Wide Web Conference {(WWW} 2016 (pp.70-72). CEUR-WS.

UniMiB: Entity linking in tweets using Jaro-Winkler distance, popularity and coherence

FERSINI, ELISABETTA
Secondo
;
MANCHANDA, PIKAKSHI;PALMONARI, MATTEO LUIGI
Penultimo
;
MESSINA, VINCENZINA
Ultimo
2016

Abstract

This paper summarizes the participation of UNIMIB team in the Named Entity rEcognition and Linking (NEEL) Challenge in #Microposts2016. In this paper, we propose a knowledge-base approach for identifying and linking named entities from tweets. The named entities are, further, classified using evidence provided by our entity linking algorithm and type-casted into Microposts categories.
No
paper
Scientifica
Knowledge base; Named entity recognition; Named entity linking
English
'Making Sense of Microposts' co-located with the 25th International World Wide Web Conference (WWW) 2016
Caliano, D., Fersini, E., Manchanda, P., Palmonari, M., Messina, V. (2016). UniMiB: Entity linking in tweets using Jaro-Winkler distance, popularity and coherence. In Proceedings of the 6th Workshop on 'Making Sense of Microposts' co-located with the 25th International World Wide Web Conference {(WWW} 2016 (pp.70-72). CEUR-WS.
Caliano, D; Fersini, E; Manchanda, P; Palmonari, M; Messina, V
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/135604
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