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» Structural Differentiae of Text Types - A Quantitative Model
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AAAI
2006
13 years 9 months ago
Embedding Heterogeneous Data Using Statistical Models
Embedding algorithms are a method for revealing low dimensional structure in complex data. Most embedding algorithms are designed to handle objects of a single type for which pair...
Amir Globerson, Gal Chechik, Fernando Pereira, Naf...
TREC
2004
13 years 9 months ago
Language Models for Searching in Web Corpora
: We describe our participation in the TREC 2004 Web and Terabyte tracks. For the web track, we employ mixture language models based on document full-text, incoming anchortext, and...
Jaap Kamps, Gilad Mishne, Maarten de Rijke
SSPR
2000
Springer
13 years 11 months ago
Studies of Radical Model for Retrieval of Cursive Chinese Handwritten Annotations
Our research focuses on Chinese online ink matching that tries to match handwritten annotations with handwritten queries without attempting to recognize them. Previously, we propos...
Matthew Y. Ma, Chi Zhang, Patrick Shen-Pei Wang
IADIS
2003
13 years 9 months ago
Hypertext Classification: A Multiagent Model for Adaptive Learning Algorithm
The problem of hypertext classification deals with objects possessing more complex information structure than the plain text has. Present hypertext classification systems show the...
Stanislav Baglei
ACL
2006
13 years 9 months ago
Modelling Lexical Redundancy for Machine Translation
Certain distinctions made in the lexicon of one language may be redundant when translating into another language. We quantify redundancy among source types by the similarity of th...
David Talbot, Miles Osborne