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» Experiments with Learning Parsing Heuristics
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AIIA
2001
Springer
13 years 9 months ago
Wide Coverage Incremental Parsing by Learning Attachment Preferences
This paper presents a novel method for wide coverage parsing using an incremental strategy, which is psycholinguistically motivated. A recursive neural network is trained on treeba...
Fabrizio Costa, Vincenzo Lombardo, Paolo Frasconi,...
ACL
2006
13 years 6 months ago
Japanese Dependency Parsing Using Co-Occurrence Information and a Combination of Case Elements
In this paper, we present a method that improves Japanese dependency parsing by using large-scale statistical information. It takes into account two kinds of information not consi...
Takeshi Abekawa, Manabu Okumura
ECML
2003
Springer
13 years 10 months ago
Experiments with Cost-Sensitive Feature Evaluation
Many machine learning tasks contain feature evaluation as one of its important components. This work is concerned with attribute estimation in the problems where class distribution...
Marko Robnik-Sikonja
LWA
2007
13 years 6 months ago
Meta-Learning Rule Learning Heuristics
The goal of this paper is to investigate to what extent a rule learning heuristic can be learned from experience. Our basic approach is to learn a large number of rules and record ...
Frederik Janssen, Johannes Fürnkranz
LREC
2010
147views Education» more  LREC 2010»
13 years 6 months ago
Learning Recursive Segments for Discourse Parsing
Automatically detecting discourse segments is an important preliminary step towards full discourse parsing. Previous research on discourse segmentation have relied on the assumpti...
Stergos D. Afantenos, Pascal Denis, Philippe Mulle...