Papers by Michael J.Q. Zhang

1 papers
DiffQG: Generating Questions to Summarize Factual Changes (2023.eacl-main)

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Challenge: Existing methods to identify factual changes between paired documents are limited . specialized entailment-like resources and models have been applied to fact verification .
Approach: They propose to represent factual changes between paired documents as question-answer pairs . they propose to generate a discriminating question given an answer span such that the question is answerable by one passage but not the other .
Outcome: The proposed model can flexibly and concisely capture the updated contents of paired documents.

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