Integration of World Knowledge for Natural Language Understanding

(Atlantis Thinking Machines)

Integration of World Knowledge for Natural Language Understanding Author Ekaterina Ovchinnikova
Isbn 949121652X
File size 2.03MB
Year 2012
Pages 252
Language English
File format PDF
Category Mathematics

Book Description:

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.

 

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