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HRI
2006
ACM
13 years 11 months ago
Using context and sensory data to learn first and second person pronouns
We present a method of grounded word learning that is powerful enough to learn the meanings of first and second person pronouns. The model uses the understood words in an utteran...
Kevin Gold, Brian Scassellati
JUCS
2010
183views more  JUCS 2010»
13 years 3 months ago
User Context and Personalized Learning: a Federation of Contextualized Attention Metadata
: Nowadays, personalized education is a very hot topic in technology enhanced learning (TEL) research. To support students during their learning process, the first step consists in...
Valentin Butoianu, Philippe Vidal, Katrien Verbert...
CICLING
2007
Springer
13 years 11 months ago
Unsupervised Discrimination of Person Names in Web Contexts
Ambiguous person names are a problem in many forms of written text, including that which is found on the Web. In this paper we explore the use of unsupervised clustering techniques...
Ted Pedersen, Anagha Kulkarni
AAAI
2007
13 years 7 months ago
A Robot That Uses Existing Vocabulary to Infer Non-Visual Word Meanings from Observation
The authors present TWIG, a visually grounded wordlearning system that uses its existing knowledge of vocabulary, grammar, and action schemas to help it learn the meanings of new ...
Kevin Gold, Brian Scassellati
EMNLP
2010
13 years 3 months ago
Hashing-Based Approaches to Spelling Correction of Personal Names
We propose two hashing-based solutions to the problem of fast and effective personal names spelling correction in People Search applications. The key idea behind our methods is to...
Raghavendra Udupa, Shaishav Kumar