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Grounding Words in Perception and Action: Computational Insights (2005)  (Make Corrections)  
Deb Roy



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Abstract: This article reviews a range of work, from psychologically motivated models evaluated mainly for their ability to explain human behavior, to models which support the development of autonomous systems. Although the ultimate goal of many researchers developing such models is to understand situated language use, at present the models address only limited aspects of word meaning, learning and use. Eventually, grammatical and social aspects of language must also be addressed, but currently stand as... (Update)

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0.8:   Why Verbs are Harder to Learn than Nouns: Initial Insights.. - Fleischman, Roy (2005)   (Correct)
0.7:   Grounded Situation Models for Robots: Where words and percepts.. - Mavridis, Roy (2006)   (Correct)
0.7:   Visual Context Driven Semantic Priming of Speech Recognition.. - Roy, Mukherjee (2003)   (Correct)

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BibTeX entry:   (Update)

@misc{ roy-grounding,
  author = "Deb Roy",
  title = "Grounding Words in Perception and Action: Computational Insights",
  url = "citeseer.ist.psu.edu/roy05grounding.html" }
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Documents on the same site (http://www.media.mit.edu/cogmac/publications.html):   More
Learning Visually-Grounded Words and Syntax for a Scene Description .. - Roy   (Correct)
Grounded Situation Models for Robots: Bridging Language.. - Mavridis, Roy (2005)   (Correct)
Situated Language Understanding as Filtering Perceived.. - Gorniak, Roy (2006)   (Correct)

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