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KDD
2001
ACM
155views Data Mining» more  KDD 2001»
14 years 5 months ago
Evaluating the novelty of text-mined rules using lexical knowledge
Sugato Basu, Raymond J. Mooney, Krupakar V. Pasupu...
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
13 years 10 months ago
Web mining from competitors' websites
This paper presents a framework for user-oriented text mining. It is then illustrated with an example of discovering knowledge from competitors’ websites. The knowledge to be di...
Xin Chen, Yi-fang Brook Wu
LREC
2010
129views Education» more  LREC 2010»
13 years 6 months ago
Mining Wikipedia for Large-scale Repositories of Context-Sensitive Entailment Rules
This paper focuses on the central role played by lexical information in the task of Recognizing Textual Entailment. In particular, the usefulness of lexical knowledge extracted fr...
Milen Kouylekov, Yashar Mehdad, Matteo Negri
JUCS
2010
139views more  JUCS 2010»
13 years 3 months ago
LemmaGen: Multilingual Lemmatisation with Induced Ripple-Down Rules
: Lemmatisation is the process of finding the normalised forms of words appearing in text. It is a useful preprocessing step for a number of language engineering and text mining t...
Matjaz Jursic, Igor Mozetic, Tomaz Erjavec, Nada L...
ILP
1999
Springer
13 years 9 months ago
Rule Evaluation Measures: A Unifying View
Numerous measures are used for performance evaluation in machine learning. In predictive knowledge discovery, the most frequently used measure is classification accuracy. With new...
Nada Lavrac, Peter A. Flach, Blaz Zupan