Summary of Towards Automatic Evaluation Of Task-oriented Dialogue Flows, by Mehrnoosh Mirtaheri et al.
Towards Automatic Evaluation of Task-Oriented Dialogue Flows
by Mehrnoosh Mirtaheri, Nikhil Varghese, Chandra Khatri, Amol Kelkar
First submitted to arxiv on: 15 Nov 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper introduces FuDGE (Fuzzy Dialogue-Graph Edit Distance), a novel metric for evaluating the quality of task-oriented dialogue systems’ predefined conversation schemes. FuDGE assesses the structural complexity and representational coverage of dialogue flows, measuring how well individual conversations align with a flow and how well a set of conversations is represented by the flow overall. The authors demonstrate the effectiveness of FuDGE through experiments on manually configured flows and flows generated by automated techniques. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Task-oriented dialogue systems rely on predefined conversation schemes to have meaningful conversations. These schemes are often represented as directed acyclic graphs, which can be manually designed or automatically generated from previously recorded conversations. However, there is no standard method for evaluating the quality of these dialogue flows. This paper proposes a new metric called FuDGE that evaluates dialogue flows by assessing their structural complexity and representational coverage. |
