Conversational Tree Search: A New Hybrid Dialog Task
- URL: http://arxiv.org/abs/2303.10227v1
- Date: Fri, 17 Mar 2023 19:50:51 GMT
- Title: Conversational Tree Search: A New Hybrid Dialog Task
- Authors: Dirk V\"ath, Lindsey Vanderlyn, Ngoc Thang Vu
- Abstract summary: We introduce Conversational Tree Search (CTS) as a new task that bridges the gap between FAQ-style information retrieval and task-oriented dialog.
Our results show that the new architecture combines the positive aspects of both the FAQ and dialog system used in the baseline and achieves higher goal completion.
- Score: 21.697256733634124
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: Conversational interfaces provide a flexible and easy way for users to seek
information that may otherwise be difficult or inconvenient to obtain. However,
existing interfaces generally fall into one of two categories: FAQs, where
users must have a concrete question in order to retrieve a general answer, or
dialogs, where users must follow a predefined path but may receive a
personalized answer. In this paper, we introduce Conversational Tree Search
(CTS) as a new task that bridges the gap between FAQ-style information
retrieval and task-oriented dialog, allowing domain-experts to define dialog
trees which can then be converted to an efficient dialog policy that learns
only to ask the questions necessary to navigate a user to their goal. We
collect a dataset for the travel reimbursement domain and demonstrate a
baseline as well as a novel deep Reinforcement Learning architecture for this
task. Our results show that the new architecture combines the positive aspects
of both the FAQ and dialog system used in the baseline and achieves higher goal
completion while skipping unnecessary questions.
Related papers
Err
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.