Template Mining for Information Extraction from Digital Documents.
Fuente:
ERIC Institute of Education Sciences
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| Autor principal: | |
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| Formato: | Recurso educativo Open Access |
| Lenguaje: | en |
| Publicado: |
1999
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1867181547419860993 |
|---|---|
| author | Chowdhury, Gobinda G. |
| author_facet | Chowdhury, Gobinda G. Chowdhury, Gobinda G. |
| collection | Education Resources Information Center |
| contents | Template Mining for Information Extraction from Digital Documents. Chowdhury, Gobinda G. Bibliographic Databases Content Analysis Information Retrieval Literature Reviews Metadata Natural Language Processing Search Strategies World Wide Web Reviews template mining research and shows how templates are used in World Wide Web search engines and metasearch engines for helping end-users generate natural language search expressions. Potential areas of application of template mining for extraction of information from digital documents are highlighted, and how such applications are used is indicated. Contains 60 references. (MES) |
| format | Recurso educativo Open Access |
| id | eric_EJ595489 |
| institution | ERIC Institute of Education Sciences |
| language | en |
| publishDate | 1999 |
| record_format | eric |
| spellingShingle | Template Mining for Information Extraction from Digital Documents. Chowdhury, Gobinda G. Bibliographic Databases Content Analysis Information Retrieval Literature Reviews Metadata Natural Language Processing Search Strategies World Wide Web Template Mining for Information Extraction from Digital Documents. Chowdhury, Gobinda G. Bibliographic Databases Content Analysis Information Retrieval Literature Reviews Metadata Natural Language Processing Search Strategies World Wide Web Reviews template mining research and shows how templates are used in World Wide Web search engines and metasearch engines for helping end-users generate natural language search expressions. Potential areas of application of template mining for extraction of information from digital documents are highlighted, and how such applications are used is indicated. Contains 60 references. (MES) |
| title | Template Mining for Information Extraction from Digital Documents. |
| topic | Bibliographic Databases Content Analysis Information Retrieval Literature Reviews Metadata Natural Language Processing Search Strategies World Wide Web |
| url | https://eric.ed.gov/?id=EJ595489 |