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NAACL
2007
13 years 8 months ago
First-Order Probabilistic Models for Coreference Resolution
Traditional noun phrase coreference resolution systems represent features only of pairs of noun phrases. In this paper, we propose a machine learning method that enables features ...
Aron Culotta, Michael L. Wick, Andrew McCallum
KI
2008
Springer
13 years 7 months ago
Analysis and Evaluation of Inductive Programming Systems in a Higher-Order Framework
Abstract. In this paper we present a comparison of several inductive programming (IP) systems. IP addresses the problem of learning (recursive) programs from incomplete specificati...
Martin Hofmann 0008, Emanuel Kitzelmann, Ute Schmi...
COLING
2002
13 years 7 months ago
Hierarchical Orderings of Textual Units
Text representation is a central task for any approach to automatic learning from texts. It requires a format which allows to interrelate texts even if they do not share content w...
Alexander Mehler
MLDM
2007
Springer
14 years 1 months ago
A Novel Rule Ordering Approach in Classification Association Rule Mining
A Classification Association Rule (CAR), a common type of mined knowledge in Data Mining, describes an implicative co-occurring relationship between a set of binary-valued data-att...
Yanbo J. Wang, Qin Xin, Frans Coenen
KDD
2006
ACM
113views Data Mining» more  KDD 2006»
14 years 7 months ago
A new efficient probabilistic model for mining labeled ordered trees
Mining frequent patterns is a general and important issue in data mining. Complex and unstructured (or semi-structured) datasets have appeared in major data mining applications, i...
Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita, Nobuhi...