Case studies with evolving fuzzy grammars
Evolving fuzzy grammars have been introduced as a way of identifying meaningful text fragments such as addresses, names, times, dates, as well as finding phrases that indicate complaints, questions, answers, general sentiment, etc. Once tagged in this way, the fragments can undergo further processin...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2011
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| Online Access: | http://psasir.upm.edu.my/id/eprint/45562/ http://psasir.upm.edu.my/id/eprint/45562/1/Case%20studies%20with%20evolving%20fuzzy%20grammars.pdf |
| _version_ | 1848850517634056192 |
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| author | Martin, Trevor Mohd Sharef, Nurfadhlina |
| author_facet | Martin, Trevor Mohd Sharef, Nurfadhlina |
| author_sort | Martin, Trevor |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Evolving fuzzy grammars have been introduced as a way of identifying meaningful text fragments such as addresses, names, times, dates, as well as finding phrases that indicate complaints, questions, answers, general sentiment, etc. Once tagged in this way, the fragments can undergo further processing e.g. text mining. Fuzziness arises because we do not require a complete match between text and the grammar patterns, and the evolving aspect is necessary because it is rarely possible to specify all patterns in advance. In this paper we briefly describe the evolving fuzzy grammar (EFG) approach and present two experiments: (i) to compare its performance to named-entity recognition systems and (ii) to highlight the importance of evolving new grammars as novel text fragment patterns are seen. In both cases, the EFG system performs well. |
| first_indexed | 2025-11-15T10:07:33Z |
| format | Conference or Workshop Item |
| id | upm-45562 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:07:33Z |
| publishDate | 2011 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-455622020-08-07T02:25:31Z http://psasir.upm.edu.my/id/eprint/45562/ Case studies with evolving fuzzy grammars Martin, Trevor Mohd Sharef, Nurfadhlina Evolving fuzzy grammars have been introduced as a way of identifying meaningful text fragments such as addresses, names, times, dates, as well as finding phrases that indicate complaints, questions, answers, general sentiment, etc. Once tagged in this way, the fragments can undergo further processing e.g. text mining. Fuzziness arises because we do not require a complete match between text and the grammar patterns, and the evolving aspect is necessary because it is rarely possible to specify all patterns in advance. In this paper we briefly describe the evolving fuzzy grammar (EFG) approach and present two experiments: (i) to compare its performance to named-entity recognition systems and (ii) to highlight the importance of evolving new grammars as novel text fragment patterns are seen. In both cases, the EFG system performs well. IEEE 2011 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/45562/1/Case%20studies%20with%20evolving%20fuzzy%20grammars.pdf Martin, Trevor and Mohd Sharef, Nurfadhlina (2011) Case studies with evolving fuzzy grammars. In: 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS 2011), 11-15 Apr. 2011, Paris, France. . 10.1109/EAIS.2011.5945912 |
| spellingShingle | Martin, Trevor Mohd Sharef, Nurfadhlina Case studies with evolving fuzzy grammars |
| title | Case studies with evolving fuzzy grammars |
| title_full | Case studies with evolving fuzzy grammars |
| title_fullStr | Case studies with evolving fuzzy grammars |
| title_full_unstemmed | Case studies with evolving fuzzy grammars |
| title_short | Case studies with evolving fuzzy grammars |
| title_sort | case studies with evolving fuzzy grammars |
| url | http://psasir.upm.edu.my/id/eprint/45562/ http://psasir.upm.edu.my/id/eprint/45562/ http://psasir.upm.edu.my/id/eprint/45562/1/Case%20studies%20with%20evolving%20fuzzy%20grammars.pdf |