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» Emerging topic detection using dictionary learning
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EMNLP
2011
12 years 7 months ago
Relation Extraction with Relation Topics
This paper describes a novel approach to the semantic relation detection problem. Instead of relying only on the training instances for a new relation, we leverage the knowledge l...
Chang Wang, James Fan, Aditya Kalyanpur, David Gon...
ICIP
2010
IEEE
13 years 5 months ago
Texture classification via patch-based sparse texton learning
Texture classification is a classical yet still active topic in computer vision and pattern recognition. Recently, several new texture classification approaches by modeling textur...
Jin Xie, Lei Zhang, Jane You, David Zhang
LREC
2010
179views Education» more  LREC 2010»
13 years 9 months ago
A Context Sensitive Variant Dictionary for Supporting Variant Selection
In Japanese, there are a large number of notational variants of words. This is because Japanese words are written in three kinds of characters: kanji (Chinese) characters, hiragar...
Aya Nishikawa, Ryo Nishimura, Yasuhiko Watanabe, Y...
ECTEL
2011
Springer
12 years 7 months ago
On the Way to a Science Intelligence: Visualizing TEL Tweets for Trend Detection
This paper presents an adaptable system for detecting trends based on the micro-blogging service Twitter, and sets out to explore to what extent such a tool can support researchers...
Peter Kraker, Claudia Wagner, Fleur Jeanquartier, ...
MSR
2011
ACM
12 years 10 months ago
Modeling the evolution of topics in source code histories
Studying the evolution of topics (collections of co-occurring words) in a software project is an emerging technique to automatically shed light on how the project is changing over...
Stephen W. Thomas, Bram Adams, Ahmed E. Hassan, Do...