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COLING
2008
14 years 11 months ago
Acquiring Sense Tagged Examples using Relevance Feedback
Supervised approaches to Word Sense Disambiguation (WSD) have been shown to outperform other approaches but are hampered by reliance on labeled training examples (the data acquisi...
Mark Stevenson, Yikun Guo, Robert J. Gaizauskas
CIKM
2009
Springer
15 years 4 months ago
Semi-supervised learning of semantic classes for query understanding: from the web and for the web
Understanding intents from search queries can improve a user’s search experience and boost a site’s advertising profits. Query tagging via statistical sequential labeling mode...
Ye-Yi Wang, Raphael Hoffmann, Xiao Li, Jakub Szyma...
COLING
2008
14 years 11 months ago
A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Un-annotated Corpus
We propose a hybrid generative/discriminative framework for semantic parsing which combines the hidden vector state (HVS) model and the hidden Markov support vector machines (HMSV...
Deyu Zhou, Yulan He
CVPR
2012
IEEE
13 years 11 days ago
Discovering localized attributes for fine-grained recognition
Attributes are visual concepts that can be detected by machines, understood by humans, and shared across categories. They are particularly useful for fine-grained domains where c...
Kun Duan, Devi Parikh, David J. Crandall, Kristen ...
ICMCS
2000
IEEE
136views Multimedia» more  ICMCS 2000»
15 years 2 months ago
Low-Level Motion Activity Features for Semantic Characterization of Video
Efficient methods of content characterization for the browsing, retrieval or filtering of vast amount of digital video content has become a necessity. Still, there is a gap betwee...
Kadir A. Peker, A. Aydin Alatan, Ali N. Akansu