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Hideaki Tamori

3 accepted papers

2024

A Japanese News Simplification Corpus with Faithfulness

COLING 2024main

Text Simplification enhances the readability of texts for specific audiences. However, automated models may introduce unwanted content or omit essential details, necessitating a focus on maintaining faithfulness to the original input. Furthermore, existing simplified corpora contain instances of low…

2021

Transformer-based Lexically Constrained Headline Generation

EMNLP 2021main

This paper explores a variant of automatic headline generation methods, where a generated headline is required to include a given phrase such as a company or a product name. Previous methods using Transformer-based models generate a headline including a given phrase by providing the encoder with add…