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.
Citazione: | 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. |
Tipo: | paper |
Carattere della pubblicazione: | Scientifica |
Presenza di un coautore afferente ad Istituzioni straniere: | No |
Titolo: | UniMiB: Entity linking in tweets using Jaro-Winkler distance, popularity and coherence |
Autori: | Caliano, D; Fersini, E; Manchanda, P; Palmonari, M; Messina, V |
Autori: | FERSINI, ELISABETTA (Secondo) PALMONARI, MATTEO LUIGI (Penultimo) MESSINA, VINCENZINA (Ultimo) |
Data di pubblicazione: | 2016 |
Lingua: | English |
Nome del convegno: | 'Making Sense of Microposts' co-located with the 25th International World Wide Web Conference (WWW) 2016 |
Serie: | CEUR WORKSHOP PROCEEDINGS |
Appare nelle tipologie: | 02 - Intervento a convegno |