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LREC
2008
104views Education» more  LREC 2008»
15 years 8 months ago
Definition Extraction Using a Sequential Combination of Baseline Grammars and Machine Learning Classifiers
The paper deals with the task of definition extraction from a small and noisy corpus of instructive texts. Three approaches are presented: Partial Parsing, Machine Learning and a ...
Lukasz Degórski, Michal Marcinczuk, Adam Pr...
NIPS
2004
15 years 8 months ago
A Machine Learning Approach to Conjoint Analysis
Choice-based conjoint analysis builds models of consumer preferences over products with answers gathered in questionnaires. Our main goal is to bring tools from the machine learni...
Olivier Chapelle, Zaïd Harchaoui
AAAI
1998
15 years 8 months ago
Machine Learning of Generic and User-Focused Summarization
A key problem in text summarization is finding a salience function which determines what information in the source should be included in the summary. This paper describes the use ...
Inderjeet Mani, Eric Bloedorn
ANLP
2000
71views more  ANLP 2000»
15 years 8 months ago
Rapid Parser Development: A Machine Learning Approach for Korean
This paper demonstrates that machine learning is a suitable approach for rapid parser development. From 1000 newly treebanked Korean sentences we generate a deterministic shift-re...
Ulf Hermjakob
KBS
2006
231views more  KBS 2006»
15 years 6 months ago
Predicting football results using Bayesian nets and other machine learning techniques
Bayesian networks (BNs) provide a means for representing, displaying, and making available in a usable form the knowledge of experts in a given Weld. In this paper, we look at the...
A. Joseph, Norman E. Fenton, Martin Neil