MIT encyclopedia of cognitive sciences
Choice Reviews OnlinePublished 1 April 1999
Citations1,014
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Abstract
The MIT Encyclopedia of the Cognitive Sciences (MITECS) is the first encyclopedia in cognitive sciences-a web-navigable resource with invaluable information and several hundred links to related resources.The material provided therein is thorough and very clearly presented by the leading scientists in each area.This is one of the most comprehensive resources in cognitive science to date.It will serve as a teaching and research guide that users may frequently refer to for important definitions, background information, and citations to relevant literature.
Speech and language processing
3,589 Citations2010Dan Jurafsky, James Martin +1 more
It is now clear that HAL’s creator, Arthur C. Clarke, was a little optimistic in predicting when an artificial agent such as HAL would be avail-able.
Cambridge University Press eBooksSemantics and cognition
757 Citations2016Giosuè Baggio, Keith Stenning +1 more
Language<b>Survey of the state of the art in human language technology</b> . Ed. by Giovanni Varile, Antonio Zampolli, Ronald Cole, Joseph Mariani, Hans Uszkoreit, Annie Zaenen, and Victor Zue. (Studies in natural language processing.) Cambridge: Cambridge University Press. Pp. xx, 513. Cloth $49.95.
604 Citations2000Kay Cohen
The Balancing Act: Combining Symbolic and Statistical Approaches to Language
232 Citations1996Judith L. Klavans, Philip Resnik
The eight contributions in this book explore the inevitable "balancing act" that must take place when symbolic and statistical approaches are brought together -- including basic choices about what knowledge will be represented symbolically and how it will be obtained.
Cross-Language Information Retrieval
226 Citations1998Gregory Grefenstette
This work focuses on the development of a model for automatic Cross-Language Information Retrieval using Latent Semantic Indexing and its application to Machine Translation Technology.
Automatic identification of non-compositional phrases
208 Citations1999Dekang Lin
This work presents a method for automatic identification of non-compositional expressions using their statistical properties in a text corpus based on the hypothesis that when a phrase is non-Compositional, its mutual information differs significantly from the mutual informations of phrases obtained by substituting one of the word in the phrase with a similar word.
Columbia Academic Commons (Columbia University)Towards multidocument summarization by reformulation: progress and prospects
192 Citations1999Kathleen McKeown, Judith L. Klavans +3 more
The evaluation of system components shows that learning over multiple extracted linguistic features is more effective than information retrieval approaches at identifying similar text units for summarization and that it is possible to generate a fluent summary that conveys similarities among documents even when full semantic interpretations of the input text are not available.
A Thematic Hierarchy for Efficient Generation from Lexical-Conceptual Structure
8 Citations1998Bonnie J. Dorr, Nizar Habash +1 more