Finding approximate language patterns
Refereed conference paper presented and published in conference proceedings

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AbstractA two-phase annotation method for semantic labeling based on the edit distance is proposed. This dynamic programming approach stresses on a non-exact string matching technique that takes full advantage of the underlying grammatical structure of 65,000 parse trees in a Treebank. It is based on the assumption that human language understanding is relevant to concrete past language experiences rather than any abstract linguistic rules. This shallow technique is inspired by the research in the area of bio-molecular sequences analysis which advocates high sequence similarity usually implies significant function or structural similarity. Experimental results for recognizing various labels in 10,000 sentences are used to justify its significances.
All Author(s) ListChan SWK
Name of Conference1st International Conference on Bio-Inspired Systems and Signal Processing
Start Date of Conference28/01/2008
End Date of Conference31/01/2008
Place of ConferenceFunchal
Country/Region of ConferencePortugal
Pages295 - 301
LanguagesEnglish-United Kingdom
Keywordsbio-inspired language parsing; semantic labelling
Web of Science Subject CategoriesEngineering; Engineering, Biomedical; Imaging Science & Photographic Technology; Radiology, Nuclear Medicine & Medical Imaging

Last updated on 2020-02-07 at 02:58