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Natural Language Information Retrieval: TREC-6 Report (0)
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BibTeX
@MISC{Strzalkowski_naturallanguage,
author = {Tomek Strzalkowski and Fang Lin and Jose Perez-carballo},
title = {Natural Language Information Retrieval: TREC-6 Report},
year = {}
}
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Abstract
. Natural language processing techniques may hold a tremendous potential for overcoming the inadequacies of purely quantitative methods of text information retrieval, but the empirical evidence to support such predictions has thus far been inadequate, and appropriate scale evaluations have been slow to emerge. In this chapter, we report on the progress of the Natural Language Information Retrieval project, a joint effort of several sites led by GE Research, and its evaluation in the 6th Text Retrieval Conferences (TREC-6). 1. Introduction and Motivation Recently, we noted a renewed interest in using NLP techniques in information retrieval, sparked in part by the sudden prominence, as well as the perceived limitations, of existing IR technology in rapidly emerging commercial applications, including on the Internet. This has also been reflected in what is being done at TREC: using phrasal terms and proper name annotations became a norm among TREC participants, and a special interest tra...
Keyphrases
trec-6 report natural language information retrieval ge research natural language information retrieval project text information retrieval information retrieval text retrieval conference special interest tra proper name annotation natural language processing technique empirical evidence nlp technique quantitative method perceived limitation tremendous potential several site joint effort phrasal term appropriate scale evaluation trec participant ir technology sudden prominence commercial application
