Natural Language Information Processing: A Computer Grammmar of English and Its Applications
Natural Language Information Processing: A Computer Grammmar of English and Its Applications
Robust text processing in automated information retrieval
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
TTP: a fast and robust parser for natural language
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 1
The importance of proper weighting methods
HLT '93 Proceedings of the workshop on Human Language Technology
Query processing for retrieval from large text bases
HLT '93 Proceedings of the workshop on Human Language Technology
Retrieval from captioned image databases using natural language processing
Proceedings of the ninth international conference on Information and knowledge management
Automatic text categorization in terms of genre and author
Computational Linguistics
A natural language system for retrieval of captioned images
Natural Language Engineering
Robust text processing in automated information retrieval
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
A two-stage decision model for information filtering
Decision Support Systems
A social network-empowered research analytics framework for project selection
Decision Support Systems
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We report on the results of a series of experiments with a prototype text retrieval system which uses relatively advanced natural language processing techniques in order to enhance the effectiveness of statistical document retrieval. In this paper we show that large-scale natural language processing (hundreds of millions of words and more) is not only required for a better retrieval, but it is also doable, given appropriate resources. In particular, we demonstrate that the use of syntactic compounds in the representation of database documents as well as in the user queries, coupled with an appropriate term weighting strategy, can considerably improve the effectiveness of retrospective search. The experiments reported here were conducted on TIPSTER database in connection with the Text REtrieval Conference series (TREC).