SQLET: Short Query Linguistic Expansion Techniques, Palliating One-Word Queries by Providing Intermediate Structure to Text (1997)
| Venue: | In Proceedings of the RIAO’97 |
| Citations: | 18 - 0 self |
BibTeX
@INPROCEEDINGS{Grefenstette97sqlet:short,
author = {Gregory Grefenstette},
title = {SQLET: Short Query Linguistic Expansion Techniques, Palliating One-Word Queries by Providing Intermediate Structure to Text},
booktitle = {In Proceedings of the RIAO’97},
year = {1997},
pages = {500--509},
publisher = {Springer Verlag}
}
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Abstract
Most people using the WWW try to find information using one or two word queries. The information retrieval systems derived from research models were designed for longer queries and do not provide an adequate response to the user's needs. On the other hand, recent advances in natural language processing permit the extraction of typed information that is axed on one or two words. We review a selection of this typed information and describe how it could be used to present an intermediate structure for the user, a structure fitting between their short queries and the documents found on the web. The user would first access this structure, and having found a use corresponding to their information need in this structure, more quickly and precisely access the corresponding web pages without random searching. An example is presented for a sample short query.
