Papers with Multi-sentence compression

2 papers
Unsupervised Rewriter for Multi-Sentence Compression (P19-1)

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Challenge: Multi-sentence compression aims to generate a grammatical but reduced compression from multiple input sentences while retaining key information.
Approach: They propose a neural rewriter for multi-sentence compression that does not need any parallel corpus.
Outcome: Empirical studies show that the proposed approach achieves comparable results upon automatic evaluation and improves the grammaticality of compression based on human evaluation.
A New Annotated Portuguese/Spanish Corpus for the Multi-Sentence Compression Task (L18-1)

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Challenge: Existing corpus for Multi-sentence Compression (MSC) tasks is limited to English . a dataset is available for MSC tasks in the French language .
Approach: They propose a new corpus for Multi-Sentence Compression task in Portuguese and Spanish.
Outcome: The proposed corpus is compared with two state-of-the-art systems in Portuguese and Spanish.

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