Papers by Hisashi Kamezawa

2 papers
RNSum: A Large-Scale Dataset for Automatic Release Note Generation via Commit Logs Summarization (2022.acl-long)

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Challenge: a release note is a technical document that describes the latest changes to a software product.
Approach: They propose to extract and then abstract release notes from GitHub repositories using a transformer-based network like BART.
Outcome: The proposed methods generate less noisy release notes at higher coverage than baselines.
A Visually-grounded First-person Dialogue Dataset with Verbal and Non-verbal Responses (2020.emnlp-main)

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Challenge: In visual-grounded dialogue systems, first-person visual information about where the other speakers are and what they are paying attention to is crucial to understand their intentions.
Approach: They propose a visually-grounded first-person dialogue (VFD) dataset with verbal and non-verbal responses.
Outcome: The proposed dataset provides verbal and non-verbal responses for first-person visual information and recent neural network models.

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