Abstract
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.
Cite
CITATION STYLE
Kanerva, J., Luotolahti, J., & Ginter, F. (2015). Turku: Semantic Dependency Parsing as a Sequence Classification. In SemEval 2015 - 9th International Workshop on Semantic Evaluation, co-located with the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2015 - Proceedings (pp. 965–969). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s15-2011
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