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Abstract: Automatic identification of related words and automatic detection of word senses are two long-standing goals of researchers in natural language processing. Word class information and word sense identification may enhance the performance of information retrieval systems. Large online corpora and increased computational capabilities make new techniques based on corpus linguistics feasible. Corpus-based analysis is especially needed for corpora from specialized fields for which no electronic... (Update)
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BibTeX entry: (Update)
Susan Gauch and Robert P. Futrelle. 1993. Experiments in automatic word class and word sense identification for information retrieval. In Proceedings of 3rd Annual Symposium on Document Analysis and Information Retrieval, pages 425--434. http://citeseer.ist.psu.edu/gauch93experiments.html More
@misc{ gauch93experiments,
author = "S. Gauch and R. Futrelle",
title = "Experiments in automatic word class and word sense identification for information
retrieval",
text = "Susan Gauch and Robert P. Futrelle. 1993. Experiments in automatic word
class and word sense identification for information retrieval. In Proceedings
of 3rd Annual Symposium on Document Analysis and Information Retrieval,
pages 425--434.",
year = "1993",
url = "citeseer.ist.psu.edu/gauch93experiments.html" }
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