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Information Retrieval: Still Butting Heads with Natural Language Processing ? (1997)
| Venue: | Information Technology, M.T Pazienza ed., Springer-Verlag Lecture Notes in Computer Science #1299 |
| Citations: | 20 - 2 self |
BibTeX
@INPROCEEDINGS{Smeaton97informationretrieval:,
author = {Alan Smeaton},
title = {Information Retrieval: Still Butting Heads with Natural Language Processing ?},
booktitle = {Information Technology, M.T Pazienza ed., Springer-Verlag Lecture Notes in Computer Science #1299},
year = {1997},
pages = {115--138},
publisher = {Springer-Verlag}
}
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Abstract
. Information retrieval (IR) is about finding documents which may be of relevance to a user's query, from within a corpus or collection of texts. While apparently a simple task at first glance, IR is in fact a hard problem because of the subtleties introduced by the use of natural language in both documents and in queries. The automatic processing of natural language clearly represents significant potential for improving information retrieval tasks because of the dominance of the natural language medium on the whole IR task. Information extraction is also fundamentally about dealing with natural language albeit for a different function. It is thus of interest to the IE community to see how a related task, perhaps the most-related task, IR, has managed to use the same NLP base technology in its development so far. This is an especially valid comparison to make since IR has been the subject of research and development and has been delivering working solutions for many decades whereas IE ...
Keyphrases
information retrieval natural language processing butting head natural language valid comparison different function natural language medium hard problem ie community many decade natural language albeit simple task related task first glance automatic processing whole ir task significant potential nlp base technology information retrieval task information extraction most-related task
