| dc.contributor.author | Eshghi, A | en_US |
| dc.contributor.author | Hough, J | en_US |
| dc.contributor.author | Purver, M | en_US |
| dc.contributor.author | Proceedings of the Fourth Annual Workshop on Cognitive Modeling and Computational Linguistics (CMCL) | en_US |
| dc.date.accessioned | 2016-12-13T15:34:10Z | |
| dc.date.issued | 2013-08 | en_US |
| dc.date.submitted | 2016-11-15T14:07:29.888Z | |
| dc.identifier.isbn | 9781937284619 | en_US |
| dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/18253 | |
| dc.description.abstract | We describe a method for learning an incremental semantic grammar from data in which utterances are paired with logical forms representing their meaning. Work- ing in an inherently incremental framework, Dynamic Syntax, we show how words can be associated with probabilistic procedures for the incremental projection of meaning, providing a grammar which can be used directly in incremental prob- abilistic parsing and generation. We test this on child-directed utterances from the CHILDES corpus, and show that it results in good coverage and semantic accuracy, without requiring annotation at the word level or any independent notion of syntax | en_US |
| dc.format.extent | 94 - 103 (9) | en_US |
| dc.publisher | Association for Computational Linguistics | en_US |
| dc.subject | incremental semantic grammar | en_US |
| dc.subject | dynamic syntax | en_US |
| dc.subject | parsing | en_US |
| dc.subject | language processing | en_US |
| dc.title | Incremental Grammar Induction from Child-Directed Dialogue Utterances | en_US |
| dc.type | Conference Proceeding | |
| dc.rights.holder | © 2013 Association for Computational Linguistics | |
| pubs.notes | Not known | en_US |
| pubs.publication-status | Published | en_US |
| pubs.publisher-url | http://www.aclweb.org/anthology/W13-2611 | en_US |
| qmul.funder | Robust Incremental Semantic Resources for Dialogue::Engineering and Physical Sciences Research Council | en_US |
