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NIPS
2004
13 years 11 months ago
Learning Syntactic Patterns for Automatic Hypernym Discovery
Semantic taxonomies such as WordNet provide a rich source of knowledge for natural language processing applications, but are expensive to build, maintain, and extend. Motivated by...
Rion Snow, Daniel Jurafsky, Andrew Y. Ng
IJCV
2010
152views more  IJCV 2010»
13 years 8 months ago
Learning Articulated Structure and Motion
Humans demonstrate a remarkable ability to parse complicated motion sequences into their constituent structures and motions. We investigate this problem, attempting to learn the st...
David A. Ross, Daniel Tarlow, Richard S. Zemel
NAACL
2010
13 years 8 months ago
Learning Translation Boundaries for Phrase-Based Decoding
Constrained decoding is of great importance not only for speed but also for translation quality. Previous efforts explore soft syntactic constraints which are based on constituent...
Deyi Xiong, Min Zhang, Haizhou Li
ICCS
2001
Springer
14 years 2 months ago
Learning to Generate CGs from Domain Specific Sentences
Automatically generating Conceptual Graphs (CGs) [1] from natural language sentences is a difficult task in using CG as a semantic (knowledge) representation language for natural l...
Lei Zhang, Yong Yu
ACL
2006
13 years 11 months ago
Using Machine-Learning to Assign Function Labels to Parser Output for Spanish
Data-driven grammatical function tag assignment has been studied for English using the Penn-II Treebank data. In this paper we address the question of whether such methods can be ...
Grzegorz Chrupala, Josef van Genabith