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» Word Sense Language Model for Information Retrieval
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HRI
2006
ACM
15 years 10 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
ICDE
2006
IEEE
192views Database» more  ICDE 2006»
15 years 10 months ago
Mining Executive Compensation Data from SEC Filings
In recent years, corporate governance has become a more and more important concern in investment decision-making. As one of the most important factors in evaluating corporate gove...
Chengmin Ding, Ping Chen
UM
2010
Springer
15 years 8 months ago
Interaction and Personalization of Criteria in Recommender Systems
A user’s informational need and preferences can be modeled by criteria, which in turn can be used to prioritize candidate results and produce a ranked list. We examine the use of...
Shawn R. Wolfe, Yi Zhang
WWW
2009
ACM
16 years 5 months ago
Mining multilingual topics from wikipedia
In this paper, we try to leverage a large-scale and multilingual knowledge base, Wikipedia, to help effectively analyze and organize Web information written in different languages...
Xiaochuan Ni, Jian-Tao Sun, Jian Hu, Zheng Chen
ICIP
2005
IEEE
15 years 10 months ago
HMM-based motion recognition system using segmented PCA
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Hidden Markov Models (HMM). We build our models on Principal Com...
Faisal I. Bashir, Wei Qu, Ashfaq A. Khokhar, Dan S...