Information extraction : a multidisciplinary approach to an emerging information technolology : internationl summer school, SCIE-97, Frascati, Italy, July 14-18, 1997
Information extraction (IE) is a new technology enabling relevant content to be extracted from textual information available electronically. IE essentially builds on natural language processing and computational linguistics, but it is also closely related to the well established area of information...
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| Главный автор: | |
|---|---|
| Формат: | Livre numérique |
| Язык: | Anglais |
| Опубликовано: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Серии: | Lecture notes in computer science. Lecture notes in artificial intelligence
1299 |
| Предметы: | |
| Online-ссылка: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Примечание: |
Actes d'un séminaire tenu à Frascati du 14 au 18 juillet 1997, d'après l écran-titre Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Information extraction, a multidisciplinary approach to an emerging information technolology, internationl summer school, SCIE-97, Frascati, Italy, July 14-18-97, Maria Teresa Pazienza, ed, 1997, New York, Springer, 1 vol. (VI-213 p.), Lecture notes in computer science, 3-540-63438-X • Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology, Texte imprimé, 9783662180389 |
Оглавление:
- Information extraction as a core language technology
- Information extraction: Techniques and challenges
- Concepticons vs. lexicons: An architecture for multilingual information extraction
- Lexical acquisition and information extraction
- Technical terminology for domain specification and content characterisation
- Short query linguistic expansion techniques: Palliating one-word queries by providing intermediate structure to text
- Information retrieval: Still butting heads with natural language processing?
- Semantic matching: Formal ontological distinctions for information organization, extraction, and integration
- Machine learning for information extraction
- Modeling and querying semi-structured data.