Robust ontology acquisition from machine-readable dictionaries
In this paper, we outline the development of a system that automatically constructs ontologies by extracting knowledge from dictionary definition sentences using Robust Minimal Recursion Semantics...
| Príomhchruthaitheoirí: | , , |
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| Rannpháirtithe: | |
| Formáid: | Conference Paper |
| Teanga: | English |
| Foilsithe / Cruthaithe: |
2011
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| Ábhair: | |
| Rochtain ar líne: | https://hdl.handle.net/10356/92079 http://hdl.handle.net/10220/7277 |
| _version_ | 1826129967262466048 |
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| author | Flickinger, Dan. Nichols, Eric. Bond, Francis. |
| author2 | School of Humanities and Social Sciences |
| author_facet | School of Humanities and Social Sciences Flickinger, Dan. Nichols, Eric. Bond, Francis. |
| author_sort | Flickinger, Dan. |
| collection | NTU |
| description | In this paper, we outline the development of a
system that automatically constructs ontologies by
extracting knowledge from dictionary definition
sentences using Robust Minimal Recursion Semantics
(RMRS), a semantic formalism that permits
underspecification. We show that by combining
deep and shallow parsing resources through
the common formalism of RMRS, we can extract
ontological relations in greater quality and quantity.
Our approach also has the advantages of requiring
a very small amount of rules and being
easily adaptable to any language with RMRS resources. |
| first_indexed | 2024-10-01T07:49:11Z |
| format | Conference Paper |
| id | ntu-10356/92079 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:49:11Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | ntu-10356/920792019-12-06T18:17:00Z Robust ontology acquisition from machine-readable dictionaries Flickinger, Dan. Nichols, Eric. Bond, Francis. School of Humanities and Social Sciences International Joint Conference on Artificial Intelligence (2005) DRNTU::Humanities::Linguistics::Sociolinguistics::Computational linguistics In this paper, we outline the development of a system that automatically constructs ontologies by extracting knowledge from dictionary definition sentences using Robust Minimal Recursion Semantics (RMRS), a semantic formalism that permits underspecification. We show that by combining deep and shallow parsing resources through the common formalism of RMRS, we can extract ontological relations in greater quality and quantity. Our approach also has the advantages of requiring a very small amount of rules and being easily adaptable to any language with RMRS resources. Accepted version 2011-10-17T02:37:52Z 2019-12-06T18:17:00Z 2011-10-17T02:37:52Z 2019-12-06T18:17:00Z 2005 2005 Conference Paper Nichols, E., Bond, F., & Flickinger, D. (2005). Robust ontology acquisition from machine-readable dictionaries. Proceedings of the International Joint Conference on Artificial Intelligence, IJCAI-2005. https://hdl.handle.net/10356/92079 http://hdl.handle.net/10220/7277 155528 en © 2005 Proceedings of the International Joint Conference on Artificial Intelligence. 6 p. |
| spellingShingle | DRNTU::Humanities::Linguistics::Sociolinguistics::Computational linguistics Flickinger, Dan. Nichols, Eric. Bond, Francis. Robust ontology acquisition from machine-readable dictionaries |
| title | Robust ontology acquisition from machine-readable dictionaries |
| title_full | Robust ontology acquisition from machine-readable dictionaries |
| title_fullStr | Robust ontology acquisition from machine-readable dictionaries |
| title_full_unstemmed | Robust ontology acquisition from machine-readable dictionaries |
| title_short | Robust ontology acquisition from machine-readable dictionaries |
| title_sort | robust ontology acquisition from machine readable dictionaries |
| topic | DRNTU::Humanities::Linguistics::Sociolinguistics::Computational linguistics |
| url | https://hdl.handle.net/10356/92079 http://hdl.handle.net/10220/7277 |
| work_keys_str_mv | AT flickingerdan robustontologyacquisitionfrommachinereadabledictionaries AT nicholseric robustontologyacquisitionfrommachinereadabledictionaries AT bondfrancis robustontologyacquisitionfrommachinereadabledictionaries |