Papers by Xiaojian Wu

2 papers
AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization (2022.naacl-main)

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Challenge: Community Question Answering (CQA) fora lack a dataset to produce answer summarizations . a novel dataset of 4,631 CQA threads is used to generate answer summaries .
Approach: They propose a dataset of 4,631 CQA threads for answer summarization curated by professional linguists.
Outcome: The proposed approach boosts summarization performance according to automatic evaluation.
Unsupervised Energy-based Adversarial Domain Adaptation for Cross-domain Text Classification (2021.findings-acl)

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Challenge: Extensive experiments on multidomain sentiment classification and yes/no question-answering classification are conducted.
Approach: They propose an unsupervised energy-based adversarial domain adaptation framework that maps the text sequences from both source and target domains to a feature space.
Outcome: The proposed framework improves on multidomain sentiment classification and Yes/No question-answering classification.

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