This paper summarizes the participation of UNIMIB team in the Named Entity rEcognition and Linking (NEEL) Chal- lenge in #Microposts2016.

Feb 28, 2017 · In this paper, we propose a knowledge-base approach for identifying and linking named entities from tweets. The named entities are, further, ...

This paper summarizes the participation of UNIMIB team in the Named Entity rEcognition and Linking (NEEL) Challenge in #Microposts2016.

UniMiB: Entity Linking in Tweets using Jaro-Winkler Distance, Popularity and Coherence. #Microposts 2016: 70-72. [+][–]. Coauthor network. maximize. Note that ...

UniMiB: Entity Linking in Tweets using Jaro-Winkler Distance, Popularity and Coherence. D Caliano, E Fersini, P Manchanda, M Palmonari, E Messina.

UniMiB: Entity Linking in Tweets using Jaro-Winkler Distance, Popularity and Coherence. D Caliano, E Fersini, P Manchanda, M Palmonari, E Messina.

UniMiB: Entity linking in tweets using Jaro-Winkler distance, popularity and coherence. 2016 Caliano, D; Fersini, E; Manchanda, P; Palmonari, M; Messina, V ...

Readers: Everyone. UniMiB: Entity Linking in Tweets using Jaro-Winkler Distance, Popularity and Coherence · pdf icon · Davide Caliano, Elisabetta Fersini ...

UniMiB: Entity Linking in Tweets using Jaro-Winkler Distance, Popularity and Coherence · Enza Messina. 2016. This paper summarizes the participation of UNIMIB ...

This paper describes the framework proposed by the UNIMIB Team for the task of Named Entity Recognition and Linking of Italian tweets (NEEL-IT).