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On the scalability of the answer extraction system “EXTRANS”


Mollà, D; Hess, M (1999). On the scalability of the answer extraction system “EXTRANS”. In: Friedl, G; Mayr, H C. Applications of Natural Language to Information Systems, NLDB ´99. Klagenfurt: Universität Trier, 219-224.

Abstract

There have been many attempts in the history of Information Retrieval (IR) to add some linguistic capabilites to standard IR systems in order to improve their performance (mainly, their precision). These attempts have not been very successful so far, at least not in the standard IR settings.
The two main reasons are the (related but not identical) problems of data volume and of scalability. First, the volume of data typically processed by IR systems is so large that the use of more than a few isolated linguistic components seemed out of the question, and linguistic components do not work well in isolation. Second, NLP systems that work reasonably well in small scale laboratory contexts will often not scale up to real world domains like those for which IR is standardly used. Both of these points seem to all but rule out the use of full-fledged NLP methods in standard text retrieval applications.

Abstract

There have been many attempts in the history of Information Retrieval (IR) to add some linguistic capabilites to standard IR systems in order to improve their performance (mainly, their precision). These attempts have not been very successful so far, at least not in the standard IR settings.
The two main reasons are the (related but not identical) problems of data volume and of scalability. First, the volume of data typically processed by IR systems is so large that the use of more than a few isolated linguistic components seemed out of the question, and linguistic components do not work well in isolation. Second, NLP systems that work reasonably well in small scale laboratory contexts will often not scale up to real world domains like those for which IR is standardly used. Both of these points seem to all but rule out the use of full-fledged NLP methods in standard text retrieval applications.

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Additional indexing

Item Type:Book Section, not refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:410 Linguistics
000 Computer science, knowledge & systems
Language:English
Date:June 1999
Deposited On:24 Jun 2009 05:10
Last Modified:06 Dec 2017 19:55
Publisher:Universität Trier
Number:Band 1
Additional Information:4th Conference of Applications of Natural Language to Information Systems , Klagenfurt, Austria, 17.-19. Juni 1999
Official URL:http://www.informatik.uni-trier.de/~ley/db/conf/nldb/index.html
Related URLs:http://arxiv.org/abs/cs/0005019v1

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