DeepAI
Log In Sign Up

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

06/02/2020
by   Yong Shan, et al.
0

Recent studies in dialogue state tracking (DST) leverage historical information to determine states which are generally represented as slot-value pairs. However, most of them have limitations to efficiently exploit relevant context due to the lack of a powerful mechanism for modeling interactions between the slot and the dialogue history. Besides, existing methods usually ignore the slot imbalance problem and treat all slots indiscriminately, which limits the learning of hard slots and eventually hurts overall performance. In this paper, we propose to enhance the DST through employing a contextual hierarchical attention network to not only discern relevant information at both word level and turn level but also learn contextual representations. We further propose an adaptive objective to alleviate the slot imbalance problem by dynamically adjust weights of different slots during training. Experimental results show that our approach reaches 52.68 MultiWOZ 2.0 and MultiWOZ 2.1 datasets respectively and achieves new state-of-the-art performance with considerable improvements (+1.24 +5.98

READ FULL TEXT
07/12/2021

Dialogue State Tracking with Multi-Level Fusion of Predicted Dialogue States and Conversations

Most recently proposed approaches in dialogue state tracking (DST) lever...
07/27/2021

Dual Slot Selector via Local Reliability Verification for Dialogue State Tracking

The goal of dialogue state tracking (DST) is to predict the current dial...
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 ...
01/22/2021

Slot Self-Attentive Dialogue State Tracking

An indispensable component in task-oriented dialogue systems is the dial...
06/04/2019

Improving Long Distance Slot Carryover in Spoken Dialogue Systems

Tracking the state of the conversation is a central component in task-or...
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...
09/02/2019

Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation

Existing approaches to dialogue state tracking rely on pre-defined ontol...