Papers with FLONET
End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs (2021.emnlp-main)
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| Challenge: | Existing systems that use human-to-human dialogs to help users with specific tasks are still unexplored. |
| Approach: | They propose a problem in which a dialog system mimics a troubleshooting agent . they use a dataset grounded on 12 different troubleshooking flowcharts to train the agent a neural model . |
| Outcome: | The proposed model can do zero-shot transfer to unseen flowcharts and sets a strong baseline for future research. |
Structural Constraints and Natural Language Inference for End-to-End Flowchart Grounded Dialog Response Generation (2022.emnlp-main)
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| Challenge: | Existing approaches to learn flowchart grounded dialogs have two limitations . Flowchart-based systems require only the chat transcripts and no additional annotations . |
| Approach: | They propose a structure-aware approach to learn flowchart grounded dialogs . it uses structural constraints derived from connectivity structure of flowchartes into a RAG framework . |
| Outcome: | The proposed approach outperforms existing approaches with a success rate of 68% and 123%. |