Natural Language Information Retrieval: TREC-3 Report (0)
| Venue: | In Proceedings of the Fifth Text REtrieval Conference (TREC-5 |
| Citations: | 26 - 1 self |
BibTeX
@INPROCEEDINGS{Strzalkowski_naturallanguage,
author = {Tomek Strzalkowski and Jose Perez Carballo and Mihnea Marinescu},
title = {Natural Language Information Retrieval: TREC-3 Report},
booktitle = {In Proceedings of the Fifth Text REtrieval Conference (TREC-5},
year = {},
pages = {500--238}
}
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Abstract
In this paper we report on the recent developments in NYU's natural language information retrieval system, especially as related to the 3rd Text Retrieval Conference (TREC-3). The main characteristic of this system is the use of advanced natural language processing to enhance the effectiveness of term-based document retrieval. The system is designed around a traditional statistical backbone consisting of the indexer module, which builds inverted index files from pre-processed documents, and a retrieval engine which searches and ranks the documents in response to user queries. Natural language processing is used to (1) preprocess the documents in order to extract content-carrying terms, (2) discover inter-term dependencies and build a conceptual hierarchy specific to the database domain, and (3) process user's natural language requests into effective search queries. For the present TREC-3 effort, the total of 3.3 GBytes of text articles have been processed (Tipster disks 1 through 3), i...
