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ACL
2009
13 years 6 months ago
Exploiting Heterogeneous Treebanks for Parsing
We address the issue of using heterogeneous treebanks for parsing by breaking it down into two sub-problems, converting grammar formalisms of the treebanks to the same one, and pa...
Zheng-Yu Niu, Haifeng Wang, Hua Wu
EMNLP
2009
13 years 6 months ago
An Empirical Study of Semi-supervised Structured Conditional Models for Dependency Parsing
This paper describes an empirical study of high-performance dependency parsers based on a semi-supervised learning approach. We describe an extension of semisupervised structured ...
Jun Suzuki, Hideki Isozaki, Xavier Carreras, Micha...
ACL
2008
13 years 10 months ago
Self-Training for Biomedical Parsing
Parser self-training is the technique of taking an existing parser, parsing extra data and then creating a second parser by treating the extra data as further training data. Here ...
David McClosky, Eugene Charniak
AIIA
2001
Springer
14 years 1 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 10 months ago
An All-Subtrees Approach to Unsupervised Parsing
We investigate generalizations of the allsubtrees "DOP" approach to unsupervised parsing. Unsupervised DOP models assign all possible binary trees to a set of sentences ...
Rens Bod