Papers by Yohei Seki
ML-Promise: A Multilingual Dataset for Corporate Promise Verification (2025.emnlp-main)
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| Challenge: | Promises shape perceptions and drive decisions, but verification of their fulfillment is difficult due to complexity and volume of commitments . authors propose a new approach to verifying promises in environmental, social, and governance reports . complexity of promises, complexity of evidence, difficulty in verifying their fulfillment a pressing need for new approaches . |
| Approach: | They propose a multilingual dataset that includes English, French, Chinese, Japanese, and Korean . they propose ML-Promise to facilitate in-depth verification of corporate promises . |
| Outcome: | The proposed approach includes promise identification, evidence assessment, and evaluation of timing for verification in multiple languages. |
Text360Nav: 360-Degree Image Captioning Dataset for Urban Pedestrians Navigation (2024.lrec-main)
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| Challenge: | Existing image captioning datasets focus on the overall image description and lack detailed scene descriptions, overlooking features for pedestrians walking on urban streets. |
| Approach: | They develop a dataset to provide textual feedback from 360-degree camera images to visually impaired pedestrians . they generate meaningful captions focusing on obstacles on the streets . |
| Outcome: | The proposed dataset provides textual feedback from machinery visual perception to visually impaired individuals and distracted pedestrians . the results show that the models trained with the dataset can generate meaningful captions focusing on street objects and obstacles in urban scenes . |