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» Hierarchical Hidden Markov Models for Information Extraction
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ICDE
2007
IEEE
126views Database» more  ICDE 2007»
16 years 2 months ago
Organizing Hidden-Web Databases by Clustering Visible Web Documents
In this paper we address the problem of organizing hidden-Web databases. Given a heterogeneous set of Web forms that serve as entry points to hidden-Web databases, our goal is to ...
Luciano Barbosa, Juliana Freire, Altigran Soares d...
EMNLP
2009
14 years 11 months ago
Quantifier Scope Disambiguation Using Extracted Pragmatic Knowledge: Preliminary Results
It is well known that pragmatic knowledge is useful and necessary in many difficult language processing tasks, but because this knowledge is difficult to acquire and process autom...
Prakash Srinivasan, Alexander Yates
NIPS
2008
15 years 3 months ago
Hierarchical Fisher Kernels for Longitudinal Data
We develop new techniques for time series classification based on hierarchical Bayesian generative models (called mixed-effect models) and the Fisher kernel derived from them. A k...
Zhengdong Lu, Todd K. Leen, Jeffrey Kaye
ICMLA
2009
14 years 11 months ago
Structured Prediction Models for Chord Transcription of Music Audio
Chord sequences are a compact and useful description of music, representing each beat or measure in terms of a likely distribution over individual notes without specifying the not...
Adrian Weller, Daniel P. W. Ellis, Tony Jebara
CIKM
2008
Springer
15 years 3 months ago
Closing the loop in webpage understanding
The two most important tasks in information extraction from the Web are webpage structure understanding and natural language sentences processing. However, little work has been don...
Chunyu Yang, Yong Cao, Zaiqing Nie, Jie Zhou, Ji-R...