Building a cross-lingual referential knowledge database using dictionaries
Referential knowledge is vital for resolving various problems in NLP, such as anaphora resolution. For example, we have the referential knowledge that diagnose is most likely a member of the referential relation ‘doctor diagnose patient’s illness’. Nariyama et al. (2005) presented an inventory of su...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
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2010
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/92073 http://hdl.handle.net/10220/6430 |
| _version_ | 1826117765675614208 |
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| author | Nariyama, Shigeko Tanaka, Takaaki Nichols, Eric Bond, Francis Nakaiwa, Hiromi |
| author2 | School of Humanities and Social Sciences |
| author_facet | School of Humanities and Social Sciences Nariyama, Shigeko Tanaka, Takaaki Nichols, Eric Bond, Francis Nakaiwa, Hiromi |
| author_sort | Nariyama, Shigeko |
| collection | NTU |
| description | Referential knowledge is vital for resolving various problems in NLP, such as anaphora resolution. For example, we have the referential knowledge that diagnose is most likely a member of the referential relation ‘doctor diagnose patient’s illness’. Nariyama et al. (2005) presented an inventory of such referents as doctor, collected from Japanese dictionary definition sentences. Such referential information is based on world knowledge and is applicable across languages. This paper describes our work using the inventory to build a crosslingual referential database for multilingual applications. |
| first_indexed | 2024-10-01T04:33:02Z |
| format | Conference Paper |
| id | ntu-10356/92073 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:33:02Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | ntu-10356/920732019-12-06T18:16:53Z Building a cross-lingual referential knowledge database using dictionaries Nariyama, Shigeko Tanaka, Takaaki Nichols, Eric Bond, Francis Nakaiwa, Hiromi School of Humanities and Social Sciences Recent Advances in Natural Language Processing (2005 : Borovets, Bulgaria) DRNTU::Humanities::Language::Japanese Referential knowledge is vital for resolving various problems in NLP, such as anaphora resolution. For example, we have the referential knowledge that diagnose is most likely a member of the referential relation ‘doctor diagnose patient’s illness’. Nariyama et al. (2005) presented an inventory of such referents as doctor, collected from Japanese dictionary definition sentences. Such referential information is based on world knowledge and is applicable across languages. This paper describes our work using the inventory to build a crosslingual referential database for multilingual applications. Accepted version 2010-09-08T00:53:05Z 2019-12-06T18:16:53Z 2010-09-08T00:53:05Z 2019-12-06T18:16:53Z 2005 2005 Conference Paper Nariyama, S., Tanaka, T., Nichols, E., Bond, F., & Nakaiwa, H. (2005). Building a cross-lingual referential knowledge database using dictionaries. In Proceedings of RANLP (Recent Advances in Natural Language Processing): pp.1-7. https://hdl.handle.net/10356/92073 http://hdl.handle.net/10220/6430 155527 en 7 p. application/pdf |
| spellingShingle | DRNTU::Humanities::Language::Japanese Nariyama, Shigeko Tanaka, Takaaki Nichols, Eric Bond, Francis Nakaiwa, Hiromi Building a cross-lingual referential knowledge database using dictionaries |
| title | Building a cross-lingual referential knowledge database using dictionaries |
| title_full | Building a cross-lingual referential knowledge database using dictionaries |
| title_fullStr | Building a cross-lingual referential knowledge database using dictionaries |
| title_full_unstemmed | Building a cross-lingual referential knowledge database using dictionaries |
| title_short | Building a cross-lingual referential knowledge database using dictionaries |
| title_sort | building a cross lingual referential knowledge database using dictionaries |
| topic | DRNTU::Humanities::Language::Japanese |
| url | https://hdl.handle.net/10356/92073 http://hdl.handle.net/10220/6430 |
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