Papers with Sentence splitting

2 papers
Simple and Effective Text Simplification Using Semantic and Neural Methods (P18-1)

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Challenge: Sentence splitting is a major simplification operation.
Approach: They propose a simple and efficient splitting algorithm based on an automatic semantic parser.
Outcome: The proposed method compares favorably to the state-of-the-art in combined lexical and structural simplification.
Discourse-Based Sentence Splitting (2021.findings-emnlp)

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Challenge: Sentence splitting is a key component of sentence simplification and has been shown to help human comprehension.
Approach: They propose to use a discourse connective to generate a sentence that is shorter than the input text.
Outcome: The proposed models outperform end-to-end models in learning the various ways of expressing a discourse relation but generate text that is less grammatical.

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