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NAACL
2010

An extractive supervised two-stage method for sentence compression

13 years 9 months ago
An extractive supervised two-stage method for sentence compression
We present a new method that compresses sentences by removing words. In a first stage, it generates candidate compressions by removing branches from the source sentence's dependency tree using a Maximum Entropy classifier. In a second stage, it chooses the best among the candidate compressions using a Support Vector Machine Regression model. Experimental results show that our method achieves state-of-the-art performance without requiring any manually written rules.
Dimitrios Galanis, Ion Androutsopoulos
Added 14 Feb 2011
Updated 14 Feb 2011
Type Journal
Year 2010
Where NAACL
Authors Dimitrios Galanis, Ion Androutsopoulos
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