DeepAI
Log In Sign Up

A Sequence-to-Sequence Approach to Dialogue State Tracking

11/18/2020
by   Yue Feng, et al.
0

This paper is concerned with dialogue state tracking (DST) in a task-oriented dialogue system. Significant progress has been achieved recently on the development of DST technologies. However, building a DST module that is scalable and effective is still a challenging issue. This paper proposes a new approach to dialogue state tracking, referred to as Seq2Seq-DU, which formalizes DST as a sequence-to-sequence problem. It employs two BERT-based encoders to respectively encode the utterances in the dialogue and the descriptions of schemas, an attender to calculate attentions between the utterance embeddings and the schema embeddings, and a decoder to generate pointers to represent the current state of dialogue. Seq2Seq-DU has the following advantages. It can jointly model the relations between intents, slots, and slot values; it can utilize rich language representations of utterances and schemas; it can effectively deal with categorical slots, non-categorical slots, and unseen schemas. In addition, Seq2Seq-DU can also be used in the NLU (natural language understanding) module of a dialogue system. Experimental results on benchmark datasets in different settings (SGD, MultiWOZ2.2, WOZ2.0, DSTC2, M2M, SNIPS, and ATIS) show that Seq2Seq-DU outperforms the existing methods.

READ FULL TEXT

page 4

page 8

06/16/2020

The SPPD System for Schema Guided Dialogue State Tracking Challenge

This paper introduces one of our group's work on the Dialog System Techn...
08/06/2019

Flexibly-Structured Model for Task-Oriented Dialogues

This paper proposes a novel end-to-end architecture for task-oriented di...
06/03/2021

SOCCER: An Information-Sparse Discourse State Tracking Collection in the Sports Commentary Domain

In the pursuit of natural language understanding, there has been a long ...
03/18/2022

Prompt-based Generative Approach towards Multi-Hierarchical Medical Dialogue State Tracking

The medical dialogue system is a promising application that can provide ...
07/22/2016

CFGs-2-NLU: Sequence-to-Sequence Learning for Mapping Utterances to Semantics and Pragmatics

In this paper, we present a novel approach to natural language understan...
08/27/2020

A Fast and Robust BERT-based Dialogue State Tracker for Schema-Guided Dialogue Dataset

Dialog State Tracking (DST) is one of the most crucial modules for goal-...
05/17/2021

SGD-QA: Fast Schema-Guided Dialogue State Tracking for Unseen Services

Dialogue state tracking is an essential part of goal-oriented dialogue s...