Papers by Chanakya Malireddy

1 papers
SCAR: Sentence Compression using Autoencoders for Reconstruction (2020.acl-srw)

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Challenge: Sentence compression is the task of shortening a sentence while retaining its meaning.
Approach: They propose to use a supervised deep learning framework to shorten sentences while retaining their meaning by a compressor and reconstructor.
Outcome: The proposed model achieves higher ROUGE scores on benchmark datasets than the existing state-of-the-art methods and baselines.

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