Summary of Hiertod: a Task-oriented Dialogue System Driven by Hierarchical Goals, By Lingbo Mo et al.
HierTOD: A Task-Oriented Dialogue System Driven by Hierarchical Goals
by Lingbo Mo, Shun Jiang, Akash Maharaj, Bernard Hishamunda, Yunyao Li
First submitted to arxiv on: 11 Nov 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This research paper introduces HierTOD, a Task-Oriented Dialogue (TOD) system designed to assist users in completing complex tasks in enterprise environments. Unlike traditional TOD systems, which rely on a single-layered workflow structure, HierTOD is driven by hierarchical goals and can support composite workflows. This allows it to facilitate mixed-initiative dialogue and improve task completion. The system includes components for natural language understanding, goal retrieval, dialogue management, and response generation, backed by a well-organized data service with domain knowledge base and retrieval engine. HierTOD unifies two TOD paradigms: slot-filling for information collection and step-by-step guidance for task execution. A human study demonstrates the effectiveness and helpfulness of HierTOD in performing both paradigms. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary HierTOD is a special kind of computer system that helps people complete tasks by talking to them. Right now, these systems are good at helping with simple things like booking a hotel room. But when it comes to more complex tasks that require lots of specific knowledge, they can get stuck. The HierTOD system tries to fix this problem by using a new way of organizing its goals and workflows. This lets it have more helpful conversations with users and make it easier for them to complete their tasks. |
Keywords
» Artificial intelligence » Knowledge base » Language understanding