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Requiring only category names as user input is a highly attractive, yet hardly explored, setting for text categorization. Earlier bootstrap-ping results relied on similarity in LSA space, which captures rather coarse contextual similarity. We suggest improving this scheme by identifying concrete references to the category name's meaning, obtaining a special(More)
The acquisition of Belief verbs lags behind the acquisition of Desire verbs in children. Some psycholinguistic theories attribute this lag to conceptual differences between the two classes, while others suggest that syntactic differences are responsible. Through computational experiments , we show that a probabilistic verb learning model exhibits the(More)
The acquisition of Mental State Verbs (MSVs) has been extensively studied in respect to their common occurrence with sen-tential complement syntax. However, MSVs also occur in a variety of other syntactic structures. Moreover, other verb classes frequently occur with sentential complements, e.g., Communication and Perception verbs. The similarity in(More)
Using a computational model of verb argument structure learning , we study a key assumption of the usage-based theory: that the acquisition of a construction relies heavily on the existence of a high-frequency exemplar verb that accounts for a large proportion of usages of that construction in the input. Importantly , unlike the psycholinguistic experiments(More)
OBJECTIVES To assess the prevalence of blood type A among patients referred for transcatheter aortic valve implantation (TAVI) and whether it is related to vascular complications. BACKGROUNDS Vascular complications following TAVI are associated with adverse outcomes. Various blood types, particularly type A, have been shown to be more prevalent in(More)
The acquisition of Belief verbs lags behind the acquisition of Desire verbs in children. Some psycholinguistic theories attribute this lag to conceptual differences between the two classes, while others suggest that syntactic differences are responsible. Through computational experiments , we show that a probabilistic verb learning model exhibits the(More)
Acknowledgements I would like to take this opportunity to thank the people whose joint efforts assisted me in writing this thesis. First and foremost, my greatest thanks go to Dr. Ido Dagan for introducing me to the wonderful world of Natural Language Processing, and for supervising this research. His constant support, thorough guidance, and great patience(More)