MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs (2024.emnlp-main)
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| Challenge: | Existing methods to manage topic shifts within on-topic dialogues are limited in their ability to generate training datasets. |
| Approach: | They propose a data generation framework that automatically generates conversational question-answering datasets with natural topic transitions by leveraging relationships between entities in a knowledge graph. |
| Outcome: | The proposed framework generates conversational question-answering datasets with natural topic transitions and proves its effectiveness in generating dialogues with topic shifts. |
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