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Necessary Bias in Natural Language Learning
This dissertation investigates the mechanism of language acquisition given the boundary conditions provided by linguistic representation and the time course of acquisition. Exploration of the mechanism is vital once we ...
Fine-Grained Linguistic Soft Constraints on Statistical Natural Language Processing Models
This dissertation focuses on effective combination of data-driven natural language processing (NLP) approaches with linguistic knowledge sources that are based on manual text annotation or word grouping according to semantic ...
Syntactic Identity and Locality Restrictions on Verbal Ellipsis
This dissertation investigates the topic of verbal ellipsis in English. Two main issues are addressed in this work: (i) the identity condition that restricts the application of ellipsis and (ii) the different locality ...
A Formal Model of Ambiguity and its Applications in Machine Translation
Systems that process natural language must cope with and resolve ambiguity. In this dissertation, a model of language processing is advocated in which multiple inputs and multiple analyses of inputs are considered concurrently ...
Spin: Lexical Semantics, Transitivity, and the Identification of Implicit Sentiment
Current interest in automatic sentiment analysis is motivated by a variety of information requirements. The vast majority of work in sentiment analysis has been specifically targeted at detecting subjective statements and ...