Textractor: A Framework for Extracting Relevant Domain Concepts from Irregular Corporate Textual Datasets
- 1 January 2010
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- Ontology-based information extraction and integration from heterogeneous data sourcesInternational Journal of Human-Computer Studies, 2008
- Natural Language Technology for Information Integration in Business IntelligencePublished by Springer Science and Business Media LLC ,2007
- Extracting Violent Events From On-Line News for Ontology PopulationPublished by Springer Science and Business Media LLC ,2007
- Identifying terms by their family and friendsPublished by Association for Computational Linguistics (ACL) ,2000
- Extracting nested collocationsPublished by Association for Computational Linguistics (ACL) ,1996
- Technical terminology: some linguistic properties and an algorithm for identification in textNatural Language Engineering, 1995
- A methodology for automatic term recognitionPublished by Association for Computational Linguistics (ACL) ,1994
- Towards automatic extraction of monolingual and bilingual terminologyPublished by Association for Computational Linguistics (ACL) ,1994
- Surface grammatical analysis for the extraction of terminological noun phrasesPublished by Association for Computational Linguistics (ACL) ,1992
- Developments in Automatic Text RetrievalScience, 1991