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Strzalkowski, T.: Natural language information retrieval (1995) 0.03
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Abstract

Describes an information retrieval system in which advanced natural language processing techniques are used to enhance the effectiveness of term based document retrieval. The backbone of the system is a traditional statistical engine that builds inverted index files from pre processed documents, and then searches and ranks the documents in response to user queries. Natural language processing is used to: preprocess the documents in order to extract content carrying terms; discover interterm dependencies and build a conceptual hierarchy specific to the database domain, and process the user's natural language requests into effective search queries. During the course of the Text Retrieval Conferences, TREC-1 and TREC-2, this system has evolved from a scaled up prototype, originally tested on such collections as CACM-3204 and Cranfield, to its present form, which can be effectively used to process hundreds or millions of words of unrestricted text

Strzalkowski, T.: Reversible grammar in natural langugae processing (19??) 0.03

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Series: Kluwer international series in engineering and computer science; natural language processing and machine translation

Perez-Carballo, J.; Strzalkowski, T.: Natural language information retrieval : progress report (2000) 0.03

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Strzalkowski, T.; Perez-Carballo, J.: Natural language information retrieval : TREC-4 report (1996) 0.03

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Strzalkowski, T.: Robust text processing in automated information retrieval (1994) 0.02

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Source: Proceedings of the 4th Conference on Applied Natural Language Processing

Strzalkowski, T.; Guthrie, L.; Karlgren, J.; Leistensnider, J.; Lin, F.; Perez-Carballo, J.; Straszheim, T.; Wang, J.; Wilding, J.: Natural language information retrieval : TREC-5 report (1997) 0.02

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