Abstract
Incremental parsers have potential advantages for applications like language modeling for machine translation and speech recognition. We describe a new algorithm for incremental transition-based Combinatory Categorial Grammar parsing. As English CCGbank derivations are mostly right branching and non-incremental, we design our algorithm based on the dependencies resolved rather than the derivation. We introduce two new actions in the shift-reduce paradigm based on the idea of 'revealing' (Pareschi and Steedman, 1987) the required information during parsing. On the standard CCGbank test data, our algorithm achieved improvements of 0.88% in labeled and 2.0% in unlabeled F-score over a greedy non-incremental shift-reduce parser.
Original language | English |
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Title of host publication | 2015 Conference of the North American Chapter of the Association for Computational Linguistics, NAACL HLT 2015 |
Subtitle of host publication | Human Language Technologies, Proceedings of the Conference |
Place of Publication | Red Hook, NY |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 53-63 |
Number of pages | 11 |
ISBN (Electronic) | 9781941643495 |
DOIs | |
Publication status | Published - 2015 |
Event | Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2015 - Denver, United States Duration: 31 May 2015 → 5 Jun 2015 |
Other
Other | Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2015 |
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Country/Territory | United States |
City | Denver |
Period | 31/05/15 → 5/06/15 |