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EMNLP
2007
15 years 3 months ago
Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model
We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a rec...
Ivan Titov, James Henderson
BIRTHDAY
2005
Springer
15 years 7 months ago
Synthesis Revisited: Generating Statechart Models from Scenario-Based Requirements
Constructing a program from a specification is a long-known general and fundamental problem. Besides its theoretical interest, this question also has practical implications, since...
David Harel, Hillel Kugler, Amir Pnueli
COLING
2008
15 years 15 days ago
A Probabilistic Model for Measuring Grammaticality and Similarity of Automatically Generated Paraphrases of Predicate Phrases
The most critical issue in generating and recognizing paraphrases is development of wide-coverage paraphrase knowledge. Previous work on paraphrase acquisition has collected lexic...
Atsushi Fujita, Satoshi Sato
ECRTS
2005
IEEE
15 years 7 months ago
Automated Model-Based Generation of Ravenscar-Compliant Source Code
Graphical languages of various sorts are increasingly used for the specification and the design of high-integrity real-time systems. Their coverage however does not extend with a...
Matteo Bordin, Tullio Vardanega
NAACL
2007
15 years 3 months ago
Generating Case Markers in Machine Translation
We study the use of rich syntax-based statistical models for generating grammatical case for the purpose of machine translation from a language which does not indicate case explic...
Kristina Toutanova, Hisami Suzuki