Modern Information Retrieval
Regular expressions for language engineering
Natural Language Engineering
The TIPSTER SUMMAC Text Summarization Evaluation
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Automatic glossary extraction: beyond terminology identification
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Identification of probable real words: an entropy-based approach
ULA '02 Proceedings of the ACL-02 workshop on Unsupervised lexical acquisition - Volume 9
SEALTS '03 Proceedings of the HLT-NAACL 2003 workshop on Software engineering and architecture of language technology systems - Volume 8
Enhancement of domain ontology construction using a crystallizing approach
Expert Systems with Applications: An International Journal
Authoring technical documents for effective retrieval
EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
Ontology population and enrichment: state of the art
Knowledge-driven multimedia information extraction and ontology evolution
Enhancing automatic term recognition algorithms with HTML tags processing
Proceedings of the 12th International Conference on Computer Systems and Technologies
Data sets for offline evaluation of scholar's recommender system
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
Hi-index | 0.00 |
In this paper we describe the practical aspects of extracting and using a glossary for a selected technical domain. We first describe the existing glossary extraction process, as applied to general corpora, and examine its shortcomings in the technical support domain. Then we propose a number of enhancements to it, including focusing the glossary on a selected domain context, providing support for multidomain glossaries, and importing domain-specific dictionaries. We apply our focused-glossary approach to the IBM Technical Support corpus and incorporate resulting glossaries within the information search and delivery system used by IBM Technical Support. We demonstrate the effectiveness of our approach by evaluating the quality of keywords and terms extracted from sample documents with the help of these glossaries.