In this paper, we describe motivations and features of the LEDR (Local Entity Detection and Recognition) task at EVALITA 2009. Our work refers to the task of the same name within the Automatic Content Extraction (ACE) program. We adopted the ACE annotation scheme adapting it to the specific morpho-syntactic features of Italian in order to create training and test data to be used in the evaluation of Information Extraction systems for Italian. In this report annotated data and evaluation measures are presented. Moreover, the results obtained by the participating system are showed.
Bartalesi Lenzi, V., Sprugnoli, R., EVALITA 2009: Description and Results of the Local Entity Detection and Recognition (LEDR) task., Paper, in Poster and Workshop Proceedings of the 11th Conference of the Italian Association for Artificial Intelligence, (Reggio Emilia, Italia, 12-12 December 2009), AI*IA, Reggio Emilia 2009: N/A-N/A [http://hdl.handle.net/10807/134869]
EVALITA 2009: Description and Results of the Local Entity Detection and Recognition (LEDR) task.
Sprugnoli, Rachele
2009
Abstract
In this paper, we describe motivations and features of the LEDR (Local Entity Detection and Recognition) task at EVALITA 2009. Our work refers to the task of the same name within the Automatic Content Extraction (ACE) program. We adopted the ACE annotation scheme adapting it to the specific morpho-syntactic features of Italian in order to create training and test data to be used in the evaluation of Information Extraction systems for Italian. In this report annotated data and evaluation measures are presented. Moreover, the results obtained by the participating system are showed.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
