Paper: Framework of Automatic Text Summarization Using Reinforcement Learning

ACL ID D12-1024
Title Framework of Automatic Text Summarization Using Reinforcement Learning
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2012
Authors

We present a new approach to the problem of automatic text summarization called Au- tomatic Summarization using Reinforcement Learning (ASRL) in this paper, which models the process of constructing a summary within the framework of reinforcement learning and attempts to optimize the given score function with the given feature representation of a sum- mary. We demonstrate that the method of re- inforcement learning can be adapted to auto- matic summarization problems naturally and simply, and other summarizing techniques, such as sentence compression, can be easily adapted as actions of the framework. The experimental results indicated ASRL was superior to the best performing method in DUC2004 and comparable to the state of the art ILP-style method, in terms of ROUGE scores. The results als...