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Abstract: This paper presents a method for inducing the parts of speech of a language and part-of-speech labels for individual words from a large text corpus. Vector representations for the part-of-speech of a word are formed from entries of its near lexical neighbors. A dimensionality reduction creates a space representing the syntactic categories of unambiguous words. A neural net trained on these spatial representations classifies individual contexts of occurrence of ambiguous words. The method... (Update)
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.... 84, 18] and Brill [15, 16] There have also been efforts at learning parts of speech from word distributions, with application to tagging [76, 77]. Taggers are currently wide spread and readily available. Those available for free include an HMM tagger implemented at Xerox [23]...
.... in which contexts (where context includes morphological features e.g. Resnik [135] as well as syntactic ones e.g. Schutze [143]) Some psychologists crtitcise this approach whenever it is proposed as a potential model for child language acquisition, but it does...
Cited by: More
Customizing a Lexicon to Better Suit a Computational Task - Hearst, Schütze (1996) (Correct)
Part-of-Speech Tagging and Partial Parsing - Abney (1996) (Correct)
Statistical Language Processing based on Self-Organising Word.. - McMahon (1994) (Correct)
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0.2: Using SQL with Prolog to improve performance with large databases - Boone (1999) (Correct)
0.2: Word Space - Schütze (1993) (Correct)
0.2: Dimensions of Meaning - Schütze (1992) (Correct)
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BibTeX entry: (Update)
Hinrich Sch¨utze. Part-of-speech induction from scratch. In Proceedings of ACL 31, Ohio State University, 1993. http://citeseer.ist.psu.edu/575905.html More
@inproceedings{ schutze93partspeech,
author = "H. Sch{\"u}tze",
title = "Part-of-speech induction from scratch",
booktitle = "Proceedings of ACL 31, Ohio State University",
year = "1993",
url = "citeseer.ist.psu.edu/575905.html" }
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