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Learning Reliability of Parses for Domain Adaptation of Dependency Parsing
Daisuke Kawahara
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Kiyotaka Uchimoto
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Paper Details:
Year: 2008
Venue:
IJCNLP |
Citations
URL
Improved Fully Unsupervised Parsing with Zoomed Learning
Roi Reichart
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Ari Rappoport
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Creating POS Tagging and Dependency Parsing Experts via Topic Modeling
Atreyee Mukherjee
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Sandra Kübler
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Matthias Scheutz
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Automatic Domain Adaptation for Parsing
David McClosky
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Eugene Charniak
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Mark Johnson
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Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples
Vidur Joshi
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Matthew Peters
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Mark Hopkins
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Similarity Based Genre Identification for POS Tagging Experts & Dependency Parsing
Atreyee Mukherjee
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Sandra Kübler
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Automatic Selection of High Quality Parses Created By a Fully Unsupervised Parser
Roi Reichart
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Ari Rappoport
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ULISSE: an Unsupervised Algorithm for Detecting Reliable Dependency Parses
Felice Dell’Orletta
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Giulia Venturi
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Simonetta Montemagni
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Unsupervised Linguistically-Driven Reliable Dependency Parses Detection and Self-Training for Adaptation to the Biomedical Domain
Felice Dell’Orletta
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Giulia Venturi
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Simonetta Montemagni
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Dependency Language Models for Transition-based Dependency Parsing
Juntao Yu
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Bernd Bohnet
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http://sourceforge.net/projects/mstparser/
http://crfpp.sourceforge.net/
Field Of Study
Task
Chunking
Relation Extraction
Language
Japanese
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