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» Using Wikipedia for Automatic Word Sense Disambiguation
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RIAO
2004
14 years 11 months ago
Retrieving what's relevant in audio and video: statistics and linguistics in combination
We present some of the technology developed at StreamSage for indexing and retrieving audio/video data. A primary difficulty of this task is precise extraction of the passages rel...
Anthony Davis, Philip Rennert, Robert Rubinoff, Ti...
83
Voted
ACL
2003
14 years 11 months ago
Syntactic Features and Word Similarity for Supervised Metonymy Resolution
We present a supervised machine learning algorithm for metonymy resolution, which exploits the similarity between examples of conventional metonymy. We show that syntactic head-mo...
Malvina Nissim, Katja Markert
86
Voted
LREC
2010
153views Education» more  LREC 2010»
14 years 11 months ago
Homographic Ideogram Understanding Using Contextual Dynamic Network
Conventional methods for disambiguation problems have been using statistical methods with co-occurrence of words in their contexts. It seems that human-beings assign appropriate w...
Jun Okamoto, Shun Ishizaki
SEMCO
2007
IEEE
15 years 3 months ago
Clustering Using Feature Domain Similarity to Discover Word Senses for Adjectives
This paper presents a new clustering algorithm called DSCBC which is designed to automatically discover word senses for polysemous words. DSCBC is an extension of CBC Clustering [...
Noriko Tomuro, Steven L. Lytinen, Kyoko Kanzaki, H...
SIGMOD
2009
ACM
144views Database» more  SIGMOD 2009»
15 years 10 months ago
Do we mean the same?: disambiguation of extracted keyword queries for database search
Users often try to accumulate information on a topic of interest from multiple information sources. In this case a user's informational need might be expressed in terms of an...
Elena Demidova, Irina Oelze, Peter Fankhauser