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AIIA
2003
Springer
14 years 16 days ago
Abduction in Classification Tasks
The aim of this paper is to show how abduction can be used in classification tasks when we deal with incomplete data. Some classifiers, even if based on decision tree induction lik...
Maurizio Atzori, Paolo Mancarella, Franco Turini
PAKDD
2000
ACM
128views Data Mining» more  PAKDD 2000»
14 years 13 days ago
A Comparative Study of Classification Based Personal E-mail Filtering
This paper addresses personal E-mail filtering by casting it in the framework of text classification. Modeled as semi-structured documents, Email messages consist of a set of field...
Yanlei Diao, Hongjun Lu, Dekai Wu
ACL
2008
13 years 10 months ago
Phrase Chunking Using Entropy Guided Transformation Learning
Entropy Guided Transformation Learning (ETL) is a new machine learning strategy that combines the advantages of decision trees (DT) and Transformation Based Learning (TBL). In thi...
Ruy Luiz Milidiú, Cícero Nogueira do...
LREC
2008
77views Education» more  LREC 2008»
13 years 10 months ago
Word-Based or Morpheme-Based? Annotation Strategies for Modern Hebrew Clitics
Morphologically rich languages pose a challenge to the annotators of treebanks with respect to the status of orthographic (spacedelimited) words in the syntactic parse trees. In s...
Reut Tsarfaty, Yoav Goldberg
ACL
2006
13 years 10 months ago
Using Machine-Learning to Assign Function Labels to Parser Output for Spanish
Data-driven grammatical function tag assignment has been studied for English using the Penn-II Treebank data. In this paper we address the question of whether such methods can be ...
Grzegorz Chrupala, Josef van Genabith