TY - GEN
T1 - Automatic acquisition and efficient representation of syntactic structures
AU - Solan, Zach
AU - Ruppin, Eytan
AU - Horn, David
AU - Edelman, Shimon
PY - 2003
Y1 - 2003
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=22344438002&partnerID=8YFLogxK
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AN - SCOPUS:22344438002
SN - 0262025507
SN - 9780262025508
T3 - Advances in Neural Information Processing Systems
BT - Advances in Neural Information Processing Systems 15 - Proceedings of the 2002 Conference, NIPS 2002
PB - Neural information processing systems foundation
T2 - 16th Annual Neural Information Processing Systems Conference, NIPS 2002
Y2 - 9 December 2002 through 14 December 2002
ER -