Paper: An extractive supervised two-stage method for sentence compression

ACL ID N10-1131
Title An extractive supervised two-stage method for sentence compression
Venue Human Language Technologies
Session Main Conference
Year 2010
Authors

We present a new method that compresses sentences by removing words. In a first stage, it generates candidate compressions by re- moving 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.