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- W2739382012 abstract "The semantic relations between the constituents of a text represent the core elements of lexical semantics. Their discovery benefits numerous Natural Language Processing applications, such as Text Understanding and Question Answering. In this dissertation, we are focusing on one particular semantic relation, INTENTION. Intentions refer to future actions that one plans to do. They signify a course of action that one proposes to follow. Intentions shed light on the beliefs and the desires of an agent, which, in turn, give clues about unstated intentions and motivations behind an action. In an attempt to unveil this type of mental states, this research describes several highly accurate mechanisms for automatic detection of (implicit or explicit) INTENTION semantic relations in domain independent text paragraphs, presents a detailed analysis of intention descriptors and proposes a representation of intentions suitable for recognizing textual entailment settings. Our analysis of the interactions between intentions and other semantic relations, such as PURPOSE and CAUSE, led to a more general and formal approach to combinations of semantic information, which we call Semantic Calculus, a calculus with semantics that captures unstated information encoded in text. We show the impact of the research presented in this dissertation by making use of the knowledge captured in a Question Answering application." @default.
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- W2739382012 date "2007-01-01" @default.
- W2739382012 modified "2023-09-27" @default.
- W2739382012 title "Intentions in text and semantic calculus" @default.
- W2739382012 hasPublicationYear "2007" @default.
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