Papers by Yunseok Jang
Unsupervised Task Graph Generation from Instructional Video Transcripts (2023.findings-acl)
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| Challenge: | Existing approaches to task graph generation use instruction-tuned language models to generate accurate task graphs. |
| Approach: | They propose an unsupervised approach that combines the reasoning capabilities of instruction-tuned language models with clustering and ranking components to generate accurate task graphs. |
| Outcome: | The proposed approach generates more accurate task graphs than a supervised learning approach on tasks from the ProceL and CrossTask datasets. |