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KDD
2008
ACM
257views Data Mining» more  KDD 2008»
14 years 9 months ago
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
Issei Sato, Minoru Yoshida, Hiroshi Nakagawa
ISMB
1993
13 years 10 months ago
Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman
JUCS
2007
106views more  JUCS 2007»
13 years 8 months ago
An Ontology-based Approach to Support Text Mining and Information Retrieval in the Biological Domain
: This paper describes an ontology-based approach aiming at helping biologists to annotate their documents and at facilitating their information retrieval task. Our approach, based...
Khaled Khelif, Rose Dieng-Kuntz, Pascal Barbry
SIGIR
2003
ACM
14 years 2 months ago
Structured use of external knowledge for event-based open domain question answering
One of the major problems in question answering (QA) is that the queries are either too brief or often do not contain most relevant terms in the target corpus. In order to overcom...
Hui Yang, Tat-Seng Chua, Shuguang Wang, Chun-Keat ...
AAAI
1998
13 years 10 months ago
Learning to Extract Symbolic Knowledge from the World Wide Web
The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a...
Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew M...