Word space

@incollection{citeulike:1343015, abstract = {Representations for semantic information about words are necessary for many applications of neural networks in natural language processing. This paper describes an efficient, corpus-based method for inducing distributed semantic representations for a large number of words (50,000) from lexical coccurrence statistics by means of a large-scale linear regression. The representations are successfully applied to word sense disambiguation using a nearest neighbor method.}, author = {Sch\"{u}tze, Hinrich }, booktitle = {Advances in Neural Information Processing Systems 5}, citeulike-article-id = {1343015}, editor = {Hanson, S. and Cowan, J. and Giles, C. }, keywords = {co-occurrence, disambiguation, statistical-nlp}, posted-at = {2007-05-30 15:03:24}, priority = {5}, publisher = {Morgan Kaufmann Publishers}, title = {Word space}, url = {http://citeseer.ist.psu.edu/schutze93word.html}, year = {1993} }

TY - CHAP ID - citeulike:1343015 L3 - citeulike-article-id:1343015 TI - Word space T2 - Advances in Neural Information Processing Systems 5 PB - Morgan Kaufmann Publishers N2 - Representations for semantic information about words are necessary for many applications of neural networks in natural language processing. This paper describes an efficient, corpus-based method for inducing distributed semantic representations for a large number of words (50,000) from lexical coccurrence statistics by means of a large-scale linear regression. The representations are successfully applied to word sense disambiguation using a nearest neighbor method. KW - co-occurrence KW - disambiguation KW - statistical-nlp AU - Schütze, Hinrich A2 - Hanson, S A2 - Cowan, J A2 - Giles, C PY - 1993/// UR - http://citeseer.ist.psu.edu/schutze93word.html ER -