Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/7551
Title: Semantic Analysis
Contributor(s): Goddard, Cliff  (author); Schalley, Andrea  (author)
Publication Date: 2010
Handle Link: https://hdl.handle.net/1959.11/7551
Abstract: Two important themes form the grounding for the discussion in this chapter. First, there is great value in conducting semantic analysis, as far as possible, in such a way as to reflect the cognitive reality of ordinary speakers. This makes it easier to model the intuitions of native speakers and to simulate their inferencing processes, and it facilitates human-computer interactions via querying processes, and the like. Second, there is concern over to what extent it will be possible to.achieve comparability, and, more ambitiously, interoperability, between different systems of semantic description. For both reasons, it is highly desirable if semantic analyses can be conducted in terms of intuitive representations, be it in simple ordinary language or by way of other intuitively accessible representations.
Publication Type: Book Chapter
Source of Publication: Handbook of Natural Language Processing, p. 93-120
Publisher: Chapman &​ Hall/​CRC, Taylor & Francis Group
Place of Publication: Boca Raton, United States of America
ISBN: 9781420085938
9781420085921
Field of Research (FOR): 089999 Information and Computing Sciences not elsewhere classified
170203 Knowledge Representation and Machine Learning
Socio-Economic Outcome Codes: 899999 Information and Communication Services not elsewhere classified
HERDC Category Description: B1 Chapter in a Scholarly Book
Other Links: http://www.crcpress.com/product/isbn/9781420085921
http://www.crcnetbase.com/doi/abs/10.1201/9781420085938-c5
http://trove.nla.gov.au/work/36340499
Series Name: Chapman & Hall/CRC Machine Learning & Pattern Recognition Series
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Appears in Collections:Book Chapter

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