Abstract
Although traditional keyword-based information search systems can provide a first stepfor use in the overall search process, the challenges is to perform tasks more accurately and intelligently, applying a user's knowledge to improve search capabilities. The authors explore the generation of natural-language interactive dialogs for bibliographical searching on the Web to improve the searching and filtering process by minimizing user exchanges. Their approach focuses on enhancing the information-searching paradigm with both a computational linguistics model and a more suitable search agent.
Original language | English |
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Pages | 44-52 |
Number of pages | 9 |
Volume | 38 |
No | 10 |
Specialist publication | Computer |
DOIs | |
State | Published - Oct 2005 |
Externally published | Yes |