Turku: Semantic Dependency Parsing as a Sequence Classification




Kanerva Jenna, Luotolahti Juhani, Ginter Filip

International Workshop on Semantic Evaluation

PublisherAssociation for Computational Linguistics

2015

Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)

965

969

978-1-941643-40-2

https://aclweb.org/anthology/S/S15/S15-2161.pdf




This paper presents the University of Turku entry to the SemEval-2015 task on Broad-Coverage Semantic Dependency Parsing. The system uses an existing transition-based parser as a sequence classifier to jointly predict all arguments of one candidate predicate at a time. Compared to our 2014 entry, the 2015 system gains about 3pp in terms of F-score for a fraction of the development time. Depending on the subtask, the difference between our entry and the winning system ranges between 1 and 5pp.



Last updated on 2024-26-11 at 16:17