Papers with text simplification task

3 papers
Demonstrating Par4Sem - A Semantic Writing Aid with Adaptive Paraphrasing (D18-2)

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Challenge: a new tool for semantic writing aids collects training examples from usage data.
Approach: They propose a semantic writing aid tool based on adaptive paraphrasing that integrates into a real word application to collect training examples from usage data.
Outcome: The proposed tool is integrated into a real word application to collect training examples from usage data.
Controllable Text Simplification with Lexical Constraint Loss (P19-2)

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Challenge: Existing models that only consider the sentence level generate words beyond the target level.
Approach: They propose a method to control the level of a sentence in a text simplification task . they add the target grade level as input and weight words in the loss function .
Outcome: The proposed method improves both BLEU and SARI scores and achieves aggressive rewriting.
Small but Mighty: New Benchmarks for Split and Rephrase (2020.emnlp-main)

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Challenge: Split and Rephrase is a text simplification task that requires a strong evaluation benchmark and metric . despite its relatively new nature, the benchmark dataset contains easily exploitable syntactic cues .
Approach: They propose to use crowdsourced datasets to evaluate split and rephrase models . they find that the widely used benchmark dataset universally contains exploitable syntactic cues .
Outcome: The proposed model performs better than the state-of-the-art model, the authors say . they show that the datasets contain significantly more diverse syntax .

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