Papers by Hirotaka Kameko
Annotating Event Appearance for Japanese Chess Commentary Corpus (2020.lrec-1)
Copied to clipboard
| Challenge: | Recent studies show that text and non-text data are not always a “true” pair. |
| Approach: | They propose "Event Appearance" labels that show the relationship between events mentioned in texts and those happening in the real world. |
| Outcome: | The proposed labels show the relationship between events mentioned in texts and those happening in the real world. |
Visual Recipe Flow: A Dataset for Learning Visual State Changes of Objects with Recipe Flows (2022.coling-1)
Copied to clipboard
Keisuke Shirai, Atsushi Hashimoto, Taichi Nishimura, Hirotaka Kameko, Shuhei Kurita, Yoshitaka Ushiku, Shinsuke Mori
| Challenge: | a new dataset enables us to learn a cooking action result for each object in a recipe text. |
| Approach: | They propose a multimodal dataset that enables us to learn a cooking action result for each object in a recipe text. |
| Outcome: | The proposed dataset reduces human annotation costs by allowing multimodal information retrieval. |
Image Description Dataset for Language Learners (2022.lrec-1)
Copied to clipboard
| Challenge: | Language learners are limited by the number of texts or speech they are asked to answer . automatic assessment of image descriptions requires a system that depends on both the learner's native language and the target language. |
| Approach: | They propose a dataset that consists of images, their descriptions, and assessment annotations . they propose 'automatic error correction' task that encodes multimodal information from a learner sentence with an image and accurately decodes a corrected sentence. |
| Outcome: | The proposed model can revise errors that cannot be revised without an image. |
Automatic Construction of a Large-Scale Corpus for Geoparsing Using Wikipedia Hyperlinks (2024.lrec-main)
Copied to clipboard
| Challenge: | Existing methods to evaluate geoparsing systems are small-scale and lack coverage of location expressions on general domains. |
| Approach: | They propose a method to construct a large-scale corpus for geoparsing from Wikipedia articles. |
| Outcome: | The proposed method can annotate multiple location expressions with coordinates even with ambiguous expressions. |
Annotating Modality Expressions and Event Factuality for a Japanese Chess Commentary Corpus (L18-1)
Copied to clipboard
| Challenge: | In recent years, there has been a surge of interest in the natural language processing related to the real world . shogi commentaries are an interesting testbed for these tasks, but can be grounded in the game tree . |
| Approach: | They propose to augment shogi commentaries with game states to generate a game commentary generator. |
| Outcome: | The proposed system can be used to ground symbols and events with factuality . it can be compared with other systems to find out if a commentator is a human . |