Université Paris-Saclay (Espace Technologique, Bat. Discovery - RD 128 - 2e ét., 91190 Saint-Aubin - France)
Abstract : Semantic role labeling has seen tremendous progress in the last years, both for supervised and unsupervised approaches. The knowledge-based approaches have been neglected while they have shown to bring the best results to the related word sense disambiguation task. We contribute a simple knowledge-based system with an easy to reproduce specification. We also present a novel approach to handle the passive voice in the context of semantic role labeling that reduces the error rate in F1 by 15.7%, showing that significant improvements can be brought while retaining the key advantages of the approach: a simple approach which facilitates analysis of individual errors, does not need any hand-annotated corpora and which is not domain-specific.
https://hal-cea.archives-ouvertes.fr/cea-00932330
Contributor : Quentin Pradet <>
Submitted on : Thursday, January 16, 2014 - 4:56:36 PM Last modification on : Monday, February 10, 2020 - 6:13:47 PM Long-term archiving on: : Thursday, April 17, 2014 - 9:49:58 AM