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Computer Science - Artificial Intelligence | Computing Meaning - Volume 4

Computing Meaning

Volume 4

Series: Text, Speech and Language Technology, Vol. 47

Volume package: Computing Meaning

Bunt, Harry, Bos, Johan, Pulman, Stephen (Eds.)

2014, VIII, 260 p. 13 illus.

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  • ​Offers a state-of-the-art overview of computational semantics written by leading researchers in the field
  • Presents the latest developments in methods and tools for the automatic computation of the content of natural language expressions
  • Includes discussions of WordNet, VerbNet, semantically annotated corpora and new methodologies for their construction as well as new statistical methods such as the application of distributional semantics  

This book is a collection of papers by leading researchers in computational semantics. It presents a state-of-the-art overview of recent and current research in computational semantics, including descriptions of new methods for constructing and improving resources for semantic computation, such as WordNet, VerbNet, and semantically annotated corpora. It also presents new statistical methods in semantic computation, such as the application of distributional semantics in the compositional calculation of sentence meanings.

Computing the meaning of sentences, texts, and spoken or texted dialogue is the ultimate challenge in natural language processing, and the key to a wide range of exciting applications. The breadth and depth of coverage of this book makes it suitable as a reference and overview of the state of the field for researchers in Computational Linguistics, Semantics, Computer Science, Cognitive Science, and Artificial Intelligence.

Content Level » Research

Keywords » Computational semantics - DL-Lite and its computational properties - Dialogue Act Markup Language - Distributional semantics - Sentential and sub-sentential structures - VerbNet - WordNet - corpora linguistics - direct semantic mapping - natural language processing - representation of meaning - semantic annotation - semantic representation and compositionality - semantic resources and annotation - transforming natural language text to logical form

Related subjects » Artificial Intelligence - Information Systems and Applications - Linguistics

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