Title :
Portuguese Temporal Expressions Recognition: From TE Characterization to an Effective TER Module Implementation
Author :
Caroline Hagège;Jorge Baptista;Nuno Mamede
Author_Institution :
Xerox Res. Centre Eur.-XRCE, Meylan, France
Abstract :
Taking into account the temporal dimension conveyed in texts is a challenge to natural language processing. At the same time this task is of great importance for a wide range of natural language processing applications. The goal of this paper is twofold. First a characterization of Portuguese temporal expressions as they appear in texts is presented. This classification is intended to meet the requirements of high inter-agreement between annotators of temporal expressions. Second, relying on this characterization, an effective temporal expression annotation tool is described. Results from its evaluation are reported.
Keywords :
"Character recognition","Tellurium","Guidelines","Natural language processing","Tagging","Humans","Chemical technology","Europe","Data mining","Calendars"
Conference_Titel :
Information and Human Language Technology (STIL), 2009 Seventh Brazilian Symposium in
Print_ISBN :
978-1-4244-6008-3
DOI :
10.1109/STIL.2009.12