20.3160, Books: Semantics/Computational Ling: Reckman

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LINGUIST List: Vol-20-3160. Fri Sep 18 2009. ISSN: 1068 - 4875.

Subject: 20.3160, Books: Semantics/Computational Ling: Reckman

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1)
Date: 15-Sep-2009
From: Mariëtte Bonenkamp < lot at uu.nl >
Subject: Flat but not shallow: Reckman
 

	
-------------------------Message 1 ---------------------------------- 
Date: Fri, 18 Sep 2009 23:02:21
From: Mariëtte Bonenkamp [lot at uu.nl]
Subject: Flat but not shallow: Reckman

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Title: Flat but not shallow 
Subtitle: Towards flatter representations in deep semantic parsing for precise and
feasible inferencing
 
Series Title: LOT Dissertation Series  

Publication Year: 2009 
Publisher: Netherlands Graduate School of Linguistics / Landelijke - LOT
	   http://www.lotpublications.nl/
	
Author: Hilke Reckman

Paperback: ISBN: 9789078328  Pages:  Price: ----  


Abstract:

Simulating human language understanding on the computer is a great
challenge. A way to approach it is to represent natural language meanings
in logic, and to use logical provers to determine what does and does not
follow from a text. What logic is best to use and how natural language
meanings are best represented in it are far from trivial questions.

This thesis focuses on semantic representation in deep parsing. It
describes the Delilah parser and generator for Dutch, which computes
semantic representations for sentences, discussing several issues and
proposing some further improvements to the system. A style of logical form
is developed that is optimized for inference in mainly two ways. One is the
implementation of event semantics for verbs and nominalizations and with
underlying states for intersective adjectives and their corresponding
abstract nouns. This makes many entailments follow straightforwardly. The
second is the introduction of Flat Logical Form, as an alternative to
first-order logic representations. In Flat Logical Form, crucial
information on quantification, monotonicity, and embedding is annotated
locally on the variables of the formula, where it does not complicate the
formula's structure. Both moves make the representations rich in
information and at the same time easy to process for purposes of automated
reasoning. Such automated reasoning with access to detailed semantic
information is expected to contribute to the retrieval of free narrative text. 



Linguistic Field(s): Computational Linguistics
                     Semantics


Written In: English  (eng)
	
See this book announcement on our website: 
http://linguistlist.org/get-book.html?BookID=43560


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