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» Improving Rule Evaluation Using Multitask Learning
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AI
1998
Springer
15 years 1 months ago
ELEM2: A Learning System for More Accurate Classifications
We present ELEM2, a new method for inducing classification rules from a set of examples. The method employs several new strategies in the induction and classification processes to ...
Aijun An, Nick Cercone
ACL
2003
14 years 11 months ago
Feedback Cleaning of Machine Translation Rules Using Automatic Evaluation
When rules of transfer-based machine translation (MT) are automatically acquired from bilingual corpora, incorrect/redundant rules are generated due to acquisition errors or trans...
Kenji Imamura, Eiichiro Sumita, Yuji Matsumoto
ACL
2007
14 years 11 months ago
Instance-based Evaluation of Entailment Rule Acquisition
Obtaining large volumes of inference knowledge, such as entailment rules, has become a major factor in achieving robust semantic processing. While there has been substantial resea...
Idan Szpektor, Eyal Shnarch, Ido Dagan
EUSFLAT
2009
136views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
Fuzzy Continuous Evaluation in Training Systems Based on Virtual Reality
The approach of continuous evaluation is an important tool in the learning process. However, only recently it was applied in training based on virtual reality. This paper presents ...
Ronei Moraes, Liliane Machado
ICML
2003
IEEE
15 years 10 months ago
An Analysis of Rule Evaluation Metrics
In this paper we analyze the most popular evaluation metrics for separate-and-conquer rule learning algorithms. Our results show that all commonly used heuristics, including accur...
Johannes Fürnkranz, Peter A. Flach