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» Document Retrieval using a Probabilistic Knowledge Model
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ICML
2005
IEEE
15 years 10 months ago
Learn to weight terms in information retrieval using category information
How to assign appropriate weights to terms is one of the critical issues in information retrieval. Many term weighting schemes are unsupervised. They are either based on the empir...
Rong Jin, Joyce Y. Chai, Luo Si
CIVR
2007
Springer
128views Image Analysis» more  CIVR 2007»
15 years 4 months ago
3D-Model search engine from photos
In this paper, we present the FOX-MIIRE 3D-Model Search Engine. Our search engine is based on Adaptive Views Vlustering (AVC) algorithm [4]. The AVC method uses statistical model ...
Tarik Filali Ansary, Jean-Philippe Vandeborre, Moh...
EKAW
2004
Springer
15 years 3 months ago
Knowledge Modelling for Deductive Web Mining
Abstract. Knowledge-intensive methods that can altogether be characterised as deductive web mining (DWM) already act as supporting technology for building the semantic web. Reusabl...
Vojtech Svátek, Martin Labský, Miros...
NAACL
2004
14 years 11 months ago
Unsupervised Learning of Contextual Role Knowledge for Coreference Resolution
We present a coreference resolver called BABAR that uses contextual role knowledge to evaluate possible antecedents for an anaphor. BABAR uses information extraction patterns to i...
David L. Bean, Ellen Riloff
TREC
2007
14 years 11 months ago
NTU at TREC 2007 Blog Track
We participated in the Opinion Retrieval Task and the Polarity Subtask. An SVM classifier was used to determine the opinion polarities of documents. We found that the opinion mean...
Kevin Hsin-Yih Lin, Hsin-Hsi Chen