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GECCO
2009
Springer
161views Optimization» more  GECCO 2009»
14 years 3 months ago
Are evolutionary rule learning algorithms appropriate for malware detection?
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiï...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
EMNLP
2007
13 years 10 months ago
Determining Case in Arabic: Learning Complex Linguistic Behavior Requires Complex Linguistic Features
This paper discusses automatic determination of case in Arabic. This task is an important part and major source of errors in full diacritization of Arabic. We use a goldstandard s...
Nizar Habash, Ryan Gabbard, Owen Rambow, Seth Kuli...
LREC
2008
125views Education» more  LREC 2008»
13 years 9 months ago
Adaptation of Relation Extraction Rules to New Domains
This paper presents various strategies for improving the extraction performance of less prominent relations with the help of the rules learned for similar relations, for which lar...
Feiyu Xu, Hans Uszkoreit, Hong Li, Niko Felger
ACL
2012
11 years 10 months ago
Learning to "Read Between the Lines" using Bayesian Logic Programs
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires â€...
Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
AIIA
2001
Springer
14 years 28 days ago
A Knowledge-Based Neurocomputing Approach to Extract Refined Linguistic Rules from Data
– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...
Giovanna Castellano, Anna Maria Fanelli