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KDD
2000
ACM
115views Data Mining» more  KDD 2000»
13 years 10 months ago
A framework for specifying explicit bias for revision of approximate information extraction rules
Information extraction is one of the most important techniques used in Text Mining. One of the main problems in building information extraction (IE) systems is that the knowledge ...
Ronen Feldman, Yair Liberzon, Binyamin Rosenfeld, ...
LREC
2008
124views Education» more  LREC 2008»
13 years 8 months ago
Clustering Related Terms with Definitions
It is a challenging task to match similar or related terms/expressions in NLP and Text Mining applications. Two typical areas in need for such work are terminology and ontology co...
Scott Songlin Piao, John McNaught, Sophia Ananiado...
KDD
2002
ACM
186views Data Mining» more  KDD 2002»
14 years 7 months ago
Topic-conditioned novelty detection
Automated detection of the first document reporting each new event in temporally-sequenced streams of documents is an open challenge. In this paper we propose a new approach which...
Yiming Yang, Jian Zhang, Jaime G. Carbonell, Chun ...
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
14 years 7 months ago
Automatic multimedia cross-modal correlation discovery
Given an image (or video clip, or audio song), how do we automatically assign keywords to it? The general problem is to find correlations across the media in a collection of multi...
Jia-Yu Pan, Hyung-Jeong Yang, Christos Faloutsos, ...
DMIN
2006
146views Data Mining» more  DMIN 2006»
13 years 8 months ago
A Comparison of Two Document Clustering Approaches for Clustering Medical Documents
Medical data is often presented as free text in the form of medical reports. Such documents contain important information about patients, disease progression and management, but ar...
Fathi H. Saad, Beatriz de la Iglesia, Duncan G. Be...