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Delmonte R. Computational Linguistic Text Processing: Logical Form, Semantic Interpretation, Discourse Relations and Question Answering

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Delmonte R. Computational Linguistic Text Processing: Logical Form, Semantic Interpretation, Discourse Relations and Question Answering
Издательство Nova Science, 2007, -381 pp.
The topic of this book is the theoretical foundations of a theory LSLT - Lexical Semantic Language Theory - and its implementation in a the system for text analysis and understanding called GETARUN1, developed at the University of Venice, Laboratory of Computational Linguistics, Department of Language Sciences. LSLT encompasses a psycholinguistic theory of the way the language faculty works, a grammatical theory of the way in which sentences are analysed and generated - for this we will be using Lexical-Functional Grammar -, a semantic theory of the way in which meaning is encoded and expressed in utterances - for this we will be using Situation Semantics -, and a parsing theory of the way in which components of the theory interact in a common architecture to produce the needed language representation to be eventually spoken aloud or interpreted by the phonetic/acoustic language interface. LSLT will then be put to use to show how discourse relations are mapped automatically from text using the tools available in the 4 sub-theories, and in particular we will focus on Causal Relations showing how the various sub-theories contribute to address different types of causality.
Semantic Interpretation and Logical Form
Discourse Model and Inferential Processes
Interpreting Spatiotemporal Locations
Discourse Relations and Rhetorical Structures
Discourse Relations and Causality
Text Generation
Linguistically-Based Semantic Evaluation for Text Entailment
Reasoning from Discourse Model for Question Answering and Text Paraphrasing
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