Teruaki Oka

2 accepted papers

2024

A Document-Level Text Simplification Dataset for Japanese

Yoshinari Nagai, Teruaki Oka, Mamoru Komachi

COLING 2024main

Document-level text simplification, a task that combines single-document summarization and intra-sentence simplification, has garnered significant attention. However, studies have primarily focused on languages such as English and German, leaving Japanese and similar languages underexplored because…

Cited by 1 Source ↗PDF ↗code ↗Scholar ↗

2024

Token-length Bias in Minimal-pair Paradigm Datasets

Naoya Ueda, Masato Mita, Teruaki Oka, Mamoru Komachi

COLING 2024main

Minimal-pair paradigm datasets have been used as benchmarks to evaluate the linguistic knowledge of models and provide an unsupervised method of acceptability judgment. The model performances are evaluated based on the percentage of minimal pairs in the MPP dataset where the model assigns a higher s…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗