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» Document Retrieval using a Probabilistic Knowledge Model
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WWW
2007
ACM
15 years 10 months ago
Integrating web directories by learning their structures
Documents in the Web are often organized using category trees by information providers (e.g. CNN, BBC) or search engines (e.g. Google, Yahoo!). Such category trees are commonly kn...
Christopher C. Yang, Jianfeng Lin
EMNLP
2010
14 years 7 months ago
Using Universal Linguistic Knowledge to Guide Grammar Induction
We present an approach to grammar induction that utilizes syntactic universals to improve dependency parsing across a range of languages. Our method uses a single set of manually-...
Tahira Naseem, Harr Chen, Regina Barzilay, Mark Jo...
SMI
2008
IEEE
126views Image Analysis» more  SMI 2008»
15 years 4 months ago
SHREC'08 entry: Semi-supervised learning for semantic 3D model retrieval
A shape feature by itself is not sufficient for effective 3D model retrieval. Long-lasting semantics shared by a community as well as a short-lived intention of a user determines ...
Akihiro Yamamoto, Masaki Tezuka, Toshiya Shimizu, ...
CSMR
2004
IEEE
15 years 1 months ago
Supporting Architectural Restructuring by Analyzing Feature Models
In order to lower the risk, reengineering projects aim at high reuse rates. Therefore, tasks like architectural restructuring have to be performed in a way that developed new syst...
Ilian Pashov, Matthias Riebisch, Ilka Philippow
CORR
2010
Springer
141views Education» more  CORR 2010»
14 years 10 months ago
A database approach to information retrieval: The remarkable relationship between language models and region models
In this report, we unify two quite distinct approaches to information retrieval: region models and language models. Region models were developed for structured document retrieval....
Djoerd Hiemstra, Vojkan Mihajlovic