Projects per year
Abstract
Incremental parsing is the task of assigning a syntactic structure to an input sentence as it unfolds word by word. Incremental parsing is more difficult than fullsentence parsing, as incomplete input increases ambiguity. Intuitively, an incremental parser that has access to semantic information should be able to reduce ambiguity by ruling out semantically implausible analyses, even for incomplete input. In this paper, we test this hypothesis by combining an incremental TAG parser with an incremental semantic role labeller in a discriminative framework. We show a substantial improvement in parsing performance compared to the baseline parser, both in full-sentence F-score and in incremental F-score.
Original language | English |
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Title of host publication | Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) |
Place of Publication | Beijing, China |
Publisher | Association for Computational Linguistics |
Pages | 1191-1201 |
Number of pages | 11 |
DOIs | |
Publication status | Published - Jul 2015 |
Event | 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing - Beijing, China Duration: 26 Jul 2015 → 31 Jul 2015 http://acl2015.org/ |
Conference
Conference | 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing |
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Abbreviated title | ACL-IJCNLP 2015 |
Country/Territory | China |
City | Beijing |
Period | 26/07/15 → 31/07/15 |
Internet address |
Fingerprint
Dive into the research topics of 'Semantic Role Labeling Improves Incremental Parsing'. Together they form a unique fingerprint.Projects
- 1 Finished
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An integrated model of syntactic and semantic prediction in human language processing
15/09/11 → 28/02/15
Project: Research
Profiles
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Frank Keller
- School of Informatics - Personal Chair in Computational Cognitive Science
- Institute of Language, Cognition and Computation
- Language, Interaction and Robotics
Person: Academic: Research Active