Tomoki Taniguchi — accepted AI-conference papers

2022

Factual Accuracy is not Enough: Planning Consistent Description Order for Radiology Report Generation

Toru Nishino, Yasuhide Miura, Tomoki Taniguchi, Tomoko Ohkuma, Yuki Suzuki, Shoji Kido +1

EMNLP 2022main

Radiology report generation systems have the potential to reduce the workload of radiologists by automatically describing the findings in medical images.To broaden the application of the report generation system, the system should generate reports that are not only factually accurate but also chrono…

Cited by 10 Source ↗PDF ↗code ↗Scholar ↗

2020

A Large-Scale Corpus of E-mail Conversations with Standard and Two-Level Dialogue Act Annotations

Motoki Taniguchi, Yoshihiro Ueda, Tomoki Taniguchi, Tomoko Ohkuma

COLING 2020main

We present a large-scale corpus of e-mail conversations with domain-agnostic and two-level dialogue act (DA) annotations towards the goal of a better understanding of asynchronous conversations. We annotate over 6,000 messages and 35,000 sentences from more than 2,000 threads. For a domain-independe…

Cited by 5 Source ↗PDF ↗code ↗Scholar ↗