Integration of World Knowledge for Natural Language Understanding (Hardcover, 2012)

This book concerns non-linguistic knowledge required to perform computational natural language understanding (NLU). The main objective of the book is to show that inference-based NLU has the potential for practical large scale applications. First, an introduction to research areas relevant for NLU is given. We review approaches to linguistic meaning, explore knowledge resources, describe semantic parsers, and compare two main forms of inference: deduction and abduction. In the main part of the book, we propose an integrative knowledge base combining lexical-semantic, ontological, and distributional knowledge. A particular attention is payed to ensuring its consistency. We then design a reasoning procedure able to make use of the large scale knowledge base. We experiment both with a deduction-based NLU system and with an abductive reasoner. For evaluation, we use three different NLU tasks: recognizing textual entailment, semantic role labeling, and interpretation of noun dependencies.

General

Imprint:	Atlantis Press (Zeger Karssen)
Country of origin:	Netherlands
Series:	Atlantis Thinking Machines, 3
Release date:	February 2012
First published:	2012
Authors:	Ekaterina Ovchinnikova
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Hardcover
Pages:	242
Edition:	2012
ISBN-13:	978-9491216527
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
LSN:	949121652X
Barcode:	9789491216527

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