Sentence comparison using robust minimal recursion semantics and an ontology
We design and test a sentence comparison method using the framework of Robust Minimal Recursion Semantics which allows us to utilise the deep parse information produced by Jacy, a Japanese HPSG based parser and the lexical information available in our ontology. Our method was used for both paraphras...
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Format: | Conference Paper |
Language: | English |
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2011
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Online Access: | https://hdl.handle.net/10356/83272 http://hdl.handle.net/10220/6824 |
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author | Bond, Francis Dridan, Rebecca. |
author2 | School of Humanities and Social Sciences |
author_facet | School of Humanities and Social Sciences Bond, Francis Dridan, Rebecca. |
author_sort | Bond, Francis |
collection | NTU |
description | We design and test a sentence comparison method using the framework of Robust Minimal Recursion Semantics which allows us to utilise the deep parse information produced by Jacy, a Japanese HPSG based parser and the lexical information available in our ontology. Our method was used for both paraphrase detection and also for answer sentence selection for question answering. In both tasks, results showed an improvement over Bag-of-Words, as well as providing extra information useful to the applications. |
first_indexed | 2024-10-01T03:25:53Z |
format | Conference Paper |
id | ntu-10356/83272 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T03:25:53Z |
publishDate | 2011 |
record_format | dspace |
spelling | ntu-10356/832722019-12-06T15:18:55Z Sentence comparison using robust minimal recursion semantics and an ontology Bond, Francis Dridan, Rebecca. School of Humanities and Social Sciences Workshop on Linguistic Distances (2006 : Sydney, Australia) DRNTU::Humanities::Linguistics::Sociolinguistics::Computational linguistics We design and test a sentence comparison method using the framework of Robust Minimal Recursion Semantics which allows us to utilise the deep parse information produced by Jacy, a Japanese HPSG based parser and the lexical information available in our ontology. Our method was used for both paraphrase detection and also for answer sentence selection for question answering. In both tasks, results showed an improvement over Bag-of-Words, as well as providing extra information useful to the applications. Published version 2011-06-13T07:32:00Z 2019-12-06T15:18:55Z 2011-06-13T07:32:00Z 2019-12-06T15:18:55Z 2006 2006 Conference Paper Dridan, R., & Bond, F. (2006). Sentence comparison using robust minimal recursion semantics and an ontology. Proceedings of the Workshop on Linguistic Distances, 35-42. https://hdl.handle.net/10356/83272 http://hdl.handle.net/10220/6824 155519 en © 2006 ACL. This paper was published in Proceedings of the Workshop on Linguistic Distances and is made available as an electronic reprint (preprint) with permission of Association for Computational Linguistics. The paper can be found at: [URL: http://aclweb.org/anthology/W/W06/W06-1106.pdf]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 8 p. application/pdf |
spellingShingle | DRNTU::Humanities::Linguistics::Sociolinguistics::Computational linguistics Bond, Francis Dridan, Rebecca. Sentence comparison using robust minimal recursion semantics and an ontology |
title | Sentence comparison using robust minimal recursion semantics and an ontology |
title_full | Sentence comparison using robust minimal recursion semantics and an ontology |
title_fullStr | Sentence comparison using robust minimal recursion semantics and an ontology |
title_full_unstemmed | Sentence comparison using robust minimal recursion semantics and an ontology |
title_short | Sentence comparison using robust minimal recursion semantics and an ontology |
title_sort | sentence comparison using robust minimal recursion semantics and an ontology |
topic | DRNTU::Humanities::Linguistics::Sociolinguistics::Computational linguistics |
url | https://hdl.handle.net/10356/83272 http://hdl.handle.net/10220/6824 |
work_keys_str_mv | AT bondfrancis sentencecomparisonusingrobustminimalrecursionsemanticsandanontology AT dridanrebecca sentencecomparisonusingrobustminimalrecursionsemanticsandanontology |