TY - GEN
T1 - Automatic Acquisition and Efficient Representation of Syntactic Structures
AU - Solan, Zach
AU - Ruppin, Eytan
AU - Horn, David
AU - Edelman, Shimon
N1 - Publisher Copyright:
© NIPS 2002: Proceedings of the 15th International Conference on Neural Information Processing Systems. All rights reserved.
PY - 2002
Y1 - 2002
N2 - The distributional principle according to which morphemes that occur in identical contexts belong, in some sense, to the same category [1] has been advanced as a means for extracting syntactic structures from corpus data. We extend this principle by applying it recursively, and by using mutual information for estimating category coherence. The resulting model learns, in an unsupervised fashion, highly structured, distributed representations of syntactic knowledge from corpora. It also exhibits promising behavior in tasks usually thought to require representations anchored in a grammar, such as systematicity.
AB - The distributional principle according to which morphemes that occur in identical contexts belong, in some sense, to the same category [1] has been advanced as a means for extracting syntactic structures from corpus data. We extend this principle by applying it recursively, and by using mutual information for estimating category coherence. The resulting model learns, in an unsupervised fashion, highly structured, distributed representations of syntactic knowledge from corpora. It also exhibits promising behavior in tasks usually thought to require representations anchored in a grammar, such as systematicity.
UR - http://www.scopus.com/inward/record.url?scp=85100109225&partnerID=8YFLogxK
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AN - SCOPUS:85100109225
T3 - NIPS 2002: Proceedings of the 15th International Conference on Neural Information Processing Systems
SP - 91
EP - 98
BT - NIPS 2002
A2 - Becker, Suzanna
A2 - Thrun, Sebastian
A2 - Obermayer, Klaus
PB - MIT Press
T2 - 15th International Conference on Neural Information Processing Systems, NIPS 2002
Y2 - 9 December 2002 through 14 December 2002
ER -