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Baby Steps: How ``Less is More'' in Unsupervised Dependency Parsing

, , and . NIPS 2009 Workshop on Grammar Induction, Representation of Language and Language Learning, Whistler, Canada, (December 2009)

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Stanford-UBC at TAC-KBP., , , , , and . TAC, NIST, (2009)A Bayesian Model Predicts Human Parse Preference and Reading Times in Sentence Processing, and . (2002)An On-line Computational Model of Human Sentence Interpretation: A Theory of the Representation and Use of Linguistic Knowledge. University of California, Berkeley, CA, (1992)Available as University of California at Berkeley Computer Science Division Tech. rep. \#92/676.Automatic Detection of Discourse Structure for Speech Recognition and Understanding, , , , , , , , , and . Proceedings of the 1997 IEEE Workshop on Speech Recognition and Understanding, page 88--95. Santa Barbara, (1997)Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition (Prentice Hall Series in Artificial Intelligence), and . Prentice Hall, 1 edition, (2000)Speech and language processing, and . Prentice Hall series in artificial intelligence Prentice Hall, Pearson Education International, London u.a., 2. ed., Pearson International Edition edition, (2009)Dialogue act modeling for automatic tagging and recognition of conversational speech, , , , , , , , , and . Comput. Linguist., 26 (3): 339--373 (2000)Towards better integration of semantic predictors in statistical language modeling., and . ICSLP, ISCA, (1998)Building multiple pronunciation models for novel words using exploratory computational phonology., , and . EUROSPEECH, page 2247-2250. ISCA, (1995)Shallow Semantic Parsing using Support Vector Machines., , , , and . HLT-NAACL, page 233-240. The Association for Computational Linguistics, (2004)