Papers by Jason S. Chang

2 papers
Learning to Paraphrase Sentences to Different Complexity Levels (2023.tacl-1)

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Challenge: Using unsupervised datasets, we train models on sentence complexification and same-level paraphrasing tasks.
Approach: They compare two unsupervised datasets with a single supervised dataset to train models on sentence complexification and same-level paraphrasing tasks.
Outcome: The proposed models outperform previous work on sentence-level targeting and improve on the ASSET simplification benchmark.
LinggleWrite: a Coaching System for Essay Writing (2020.acl-demos)

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Challenge: Existing writing services that provide feedback on writing skills are not providing sufficient "coaching" information.
Approach: They propose a writing coach that provides writing suggestions, assesses writing proficiency levels, detects grammatical errors, and offers corrective feedback in response to user’s essay.
Outcome: The proposed system improves on public test sets and shows that both AES and GED models achieve state-of-the-art performance.

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