Papers by Andi Saptono

1 papers
Integrating Transformer and Paraphrase Rules for Sentence Simplification (D18-1)

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Challenge: Current models for sentence simplification adopted ideas from machine translation studies and implicitly learned simplification mapping rules from normal-simple sentence pairs.
Approach: They propose a novel model based on a multi-layer and multi-head attention architecture and two innovative approaches to integrate a paraphrase knowledge base for simplification.
Outcome: The proposed model outperforms state-of-the-art models for sentence simplification . it seeks to select more accurate simplification rules, the authors show .

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