Title :
Temporal Relations with Signals: The Case of Italian Temporal Prepositions
Author :
Caselli, Tommaso ; Dell´Orletta, Felice ; Prodanof, Irina
Author_Institution :
Ist. di Linguistica Computazionale, CNR, Pisa, Italy
Abstract :
This paper presents a maximum entropy tagger for the identification of intra-sentential temporal relations between temporal expressions and eventualities mediated by temporal signals in constructions of the kind "eventuality + signal + temporal relation". The tagger reports an accuracy rate of 90.8%, outperforming the baseline (81.8%). One of the main results of this work is represented by the identification of a set of robust features which may be automatically obtained with a relative computational effort.
Keywords :
natural language processing; speech processing; text analysis; Italian temporal preposition; intrasentential temporal relation; maximum entropy tagger; natural language processing; speech signal; texts temporal processing; Data mining; Entropy; Information analysis; Information resources; Robustness; Signal analysis; Signal processing; Tagging; Italian; signals; temporal relations;
Conference_Titel :
Temporal Representation and Reasoning, 2009. TIME 2009. 16th International Symposium on
Conference_Location :
Bressanone-Brixen
Print_ISBN :
978-0-7695-3727-6
DOI :
10.1109/TIME.2009.23