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» Word Importance Discrimination Using Context Information
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EMNLP
2004
14 years 11 months ago
Unsupervised Domain Relevance Estimation for Word Sense Disambiguation
This paper presents Domain Relevance Estimation (DRE), a fully unsupervised text categorization technique based on the statistical estimation of the relevance of a text with respe...
Alfio Massimiliano Gliozzo, Bernardo Magnini, Carl...
65
Voted
AIRS
2006
Springer
15 years 1 months ago
Query Expansion with ConceptNet and WordNet: An Intrinsic Comparison
This paper compares the utilization of ConceptNet and WordNet in query expansion. Spreading activation selects candidate terms for query expansion from these two resources. Three m...
Ming-Hung Hsu, Ming-Feng Tsai, Hsin-Hsi Chen
83
Voted
ICIP
2003
IEEE
15 years 11 months ago
Audio-visual speaker tracking with importance particle filters
We present a probabilistic method for audio-visual (AV) speaker tracking, using an uncalibrated wide-angle camera and a microphone array. The algorithm fuses 2-D object shape and ...
Daniel Gatica-Perez, Guillaume Lathoud, Iain McCow...
IJCAI
2007
14 years 11 months ago
Identifying Expressions of Opinion in Context
While traditional information extraction systems have been built to answer questions about facts, subjective information extraction systems will answer questions about feelings an...
Eric Breck, Yejin Choi, Claire Cardie
HAPTICS
2008
IEEE
15 years 4 months ago
Kinaesthetic and Cutaneous Contributions to the Perception of Compressibility
Abstract. Compressibility or hardness of objects is an important aspect in haptic perception. Both cutaneous and kinaesthetic information are used for the perception of compressibi...
Wouter M. Bergmann Tiest, Astrid M. L. Kappers