Dual Slot Selector via Local Reliability Verification for Dialogue State Tracking

07/27/2021
by   Jinyu Guo, et al.
0

The goal of dialogue state tracking (DST) is to predict the current dialogue state given all previous dialogue contexts. Existing approaches generally predict the dialogue state at every turn from scratch. However, the overwhelming majority of the slots in each turn should simply inherit the slot values from the previous turn. Therefore, the mechanism of treating slots equally in each turn not only is inefficient but also may lead to additional errors because of the redundant slot value generation. To address this problem, we devise the two-stage DSS-DST which consists of the Dual Slot Selector based on the current turn dialogue, and the Slot Value Generator based on the dialogue history. The Dual Slot Selector determines each slot whether to update slot value or to inherit the slot value from the previous turn from two aspects: (1) if there is a strong relationship between it and the current turn dialogue utterances; (2) if a slot value with high reliability can be obtained for it through the current turn dialogue. The slots selected to be updated are permitted to enter the Slot Value Generator to update values by a hybrid method, while the other slots directly inherit the values from the previous turn. Empirical results show that our method achieves 56.93 58.04 respectively and achieves a new state-of-the-art performance with significant improvements.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
02/15/2022

On Tracking Dialogue State by Inheriting Slot Values in Mentioned Slot Pools

Dialogue state tracking (DST) is a component of the task-oriented dialog...
research
05/20/2022

Beyond the Granularity: Multi-Perspective Dialogue Collaborative Selection for Dialogue State Tracking

In dialogue state tracking, dialogue history is a crucial material, and ...
research
11/10/2022

MoNET: Tackle State Momentum via Noise-Enhanced Training for Dialogue State Tracking

Dialogue state tracking (DST) aims to convert the dialogue history into ...
research
05/01/2018

Memory-augmented Dialogue Management for Task-oriented Dialogue Systems

Dialogue management (DM) decides the next action of a dialogue system ac...
research
06/02/2020

A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking

Recent studies in dialogue state tracking (DST) leverage historical info...
research
05/08/2020

Context-Sensitive Generation Network for Handing Unknown Slot Values in Dialogue State Tracking

As a key component in a dialogue system, dialogue state tracking plays a...
research
05/08/2021

Comprehensive Study: How the Context Information of Different Granularity Affects Dialogue State Tracking?

Dialogue state tracking (DST) plays a key role in task-oriented dialogue...

Please sign up or login with your details

Forgot password? Click here to reset