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» Learning for Semantic Parsing
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139
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JMLR
2010
155views more  JMLR 2010»
15 years 1 months ago
Approximate Tree Kernels
Convolution kernels for trees provide simple means for learning with tree-structured data. The computation time of tree kernels is quadratic in the size of the trees, since all pa...
Konrad Rieck, Tammo Krueger, Ulf Brefeld, Klaus-Ro...
124
Voted
ICMCS
2008
IEEE
156views Multimedia» more  ICMCS 2008»
15 years 9 months ago
A fuzzy statistical correlation-based approach to content-based image retrieval
This paper presents an effective fuzzy long-term semantic learning method for relevance feedback-based image retrieval. The proposed system uses a statistical correlationbased met...
Xiaojun Qi, Ran Chang
76
Voted
COLING
1994
15 years 4 months ago
Categorial Grammar And Discourse Representation Theory
In this paper it is shown how simple texts that can be parsed in a Lambek Categorial Grammar can also automatically be provided with a semantics in the form of a Discourse Represe...
Reinhard Muskens
125
Voted
COLING
2010
14 years 9 months ago
Citation Author Topic Model in Expert Search
This paper proposes a novel topic model, Citation-Author-Topic (CAT) model that addresses a semantic search task we define as expert search
Yuancheng Tu, Nikhil Johri, Dan Roth, Julia Hocken...
112
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AIIDE
2008
15 years 5 months ago
Learning and Playing in Wubble World
Children do not learn the meanings of words from parsing and understanding gigabytes of text; instead meanings are learned from competent speakers who relate language to what'...
Wesley Kerr, Paul R. Cohen, Yu-Han Chang