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ACL
2010
13 years 5 months ago
Using Smaller Constituents Rather Than Sentences in Active Learning for Japanese Dependency Parsing
We investigate active learning methods for Japanese dependency parsing. We propose active learning methods of using partial dependency relations in a given sentence for parsing an...
Manabu Sassano, Sadao Kurohashi
NIPS
2000
13 years 9 months ago
The Use of Classifiers in Sequential Inference
We study the problem of combining the outcomes of several different classifiers in a way that provides a coherent inference that satisfies some constraints. In particular, we deve...
Vasin Punyakanok, Dan Roth
ACL
2012
11 years 10 months ago
Sentence Compression with Semantic Role Constraints
For sentence compression, we propose new semantic constraints to directly capture the relations between a predicate and its arguments, whereas the existing approaches have focused...
Katsumasa Yoshikawa, Ryu Iida, Tsutomu Hirao, Mana...
COLING
1990
13 years 8 months ago
Unbounded Dependency: Tying strings to rings
: This paper outlines a framework for connectionist representation based on the composition of connectionist states under vector space operators. The framework is used to specify a...
Jon M. Slack
ICANN
2009
Springer
14 years 4 days ago
Learning SVMs from Sloppily Labeled Data
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...
Guillaume Stempfel, Liva Ralaivola