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EACL
2006
ACL Anthology
13 years 11 months ago
Online Learning of Approximate Dependency Parsing Algorithms
In this paper we extend the maximum spanning tree (MST) dependency parsing framework of McDonald et al. (2005c) to incorporate higher-order feature representations and allow depen...
Ryan T. McDonald, Fernando C. N. Pereira
EMNLP
2006
13 years 11 months ago
Semantic Role Labeling via Instance-Based Learning
This paper demonstrates two methods to improve the performance of instancebased learning (IBL) algorithms for the problem of Semantic Role Labeling (SRL). Two IBL algorithms are u...
Chi-san Althon Lin, Tony C. Smith
AI
2010
Springer
13 years 9 months ago
Learning conditional preference networks
We investigate the problem of eliciting CP-nets in the well-known model of exact learning with equivalence and membership queries. The goal is to identify a preference ordering wi...
Frédéric Koriche, Bruno Zanuttini
IJLT
2006
85views more  IJLT 2006»
13 years 9 months ago
Job aids and performance support: the convergence of learning and work
: Performance support is happening where we work and live. Under a tree and at a park bench, in a submarine, at a parent-teacher meeting, in a cubicle, or on the manufacturing floo...
Allison Rossett, Lisa Schafer
NN
2006
Springer
13 years 9 months ago
Machine learning in sedimentation modelling
The paper presents machine learning (ML) models that predict sedimentation in the harbour basin of the Port of Rotterdam. The important factors affecting the sedimentation process...
Biswanath Bhattacharya, Dimitri P. Solomatine