Overview Deep learning has recently shown much promise for NLP applications. Unlike most approaches in which documents or sentences are represented by a sparse bag-of-words vector, our work in the intersection of deep learning and natural language processing handles variable sized sentences in a natural way and captures the recursive nature of natural language.
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[ total of 8 entries: 1-8 ] [ showing up to 25 entries per page: fewer | more ] Fri, 29 Mar 2013  arXiv:1303.7085 (cross-list from cs.CR) [ pdf ]
Can we create machines that think like we do? This is the goal of "strong" AI. Some years ago a philosopher invented the Chinese Room thought experiment to prove that it was impossible. We have a 60-second video that explains it all... The Open University has a new series of free, very short videos called 60 Second Adventures in Thought .
Sun 26 Dec 1993 Review: Beth Levin, English Verb Classes and Alternations Editor for this issue: <> Directory Message 1: Beth Levin, English Verb Classes and Alternations
Index from English Verb Classes And Alternations: A Preliminary Investigation , by Beth Levin, published by The University of Chicago Press, © 1993 by The University of Chicago. All rights reserved. This text may be used and shared in accordance with the fair-use provisions of US copyright law, and it may be archived and redistributed in electronic form, provided that this entire notice is carried and provided that the University of Chicago Press is notified and no fee is charged for access. Archiving, redistribution, or republication of this text on other terms, in any medium, requires both the consent of the author and the University of Chicago Press. This file contains the index from English Verb Classes And Alternations: A Preliminary Investigation , by Beth Levin, published by The University of Chicago Press, copyright © The University of Chicago, 1993.
This paper describes the construction of a linguistic knowledge base using Frame Semantics, instantiated with Chinese Verbs imported from the Chinese-English Bilingual Ontological WordNet (BOW).