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Dialogue State Tracking

30 papers with code ยท Natural Language Processing
Subtask of Dialogue

Dialogue state tacking consists of determining at each turn of a dialogue the full representation of what the user wants at that point in the dialogue, which contains a goal constraint, a set of requested slots, and the user's dialogue act.

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Latest papers without code

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

8 May 2020

As a key component in a dialogue system, dialogue state tracking plays an important role.

DIALOGUE STATE TRACKING

Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State Tracking

2 May 2020

We show that data augmentation through synthesized data can improve the accuracy of zero-shot learning for both the TRADE model and the BERT-based SUMBT model on the MultiWOZ 2. 1 dataset.

DATA AUGMENTATION DIALOGUE STATE TRACKING MULTI-DOMAIN DIALOGUE STATE TRACKING TRANSFER LEARNING ZERO-SHOT LEARNING

UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues

29 Apr 2020

Building an end-to-end conversational agent for multi-domain task-oriented dialogue has been an open challenge for two main reasons.

DIALOGUE STATE TRACKING

Dialogue State Tracking with Pretrained Encoder for Multi-domain Trask-oriented Dialogue Systems

22 Apr 2020

In task-oriented dialogue systems, Dialogue State Tracking (DST) is a core component, responsible for tracking users' goals over the whole course of a conversation, which then are utilized for deciding the next action to take.

DIALOGUE STATE TRACKING LANGUAGE MODELLING TASK-ORIENTED DIALOGUE SYSTEMS

From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap

13 Apr 2020

In this paper, we propose using machine reading comprehension (RC) in state tracking from two perspectives: model architectures and datasets.

DIALOGUE STATE TRACKING MACHINE READING COMPREHENSION TASK-ORIENTED DIALOGUE SYSTEMS

Efficient Context and Schema Fusion Networks for Multi-Domain Dialogue State Tracking

7 Apr 2020

In this paper, a novel context and schema fusion network is proposed to encode the dialogue context and schema graph by using internal and external attention mechanisms.

DIALOGUE STATE TRACKING MULTI-DOMAIN DIALOGUE STATE TRACKING

Data Augmentation for Copy-Mechanism in Dialogue State Tracking

22 Feb 2020

While several state-of-the-art approaches to dialogue state tracking (DST) have shown promising performances on several benchmarks, there is still a significant performance gap between seen slot values (i. e., values that occur in both training set and test set) and unseen ones (values that occur in training set but not in test set).

DATA AUGMENTATION DIALOGUE STATE TRACKING

Goal-Oriented Multi-Task BERT-Based Dialogue State Tracker

5 Feb 2020

The organizers introduced the Schema-Guided Dialogue (SGD) dataset with multi-domain conversations and released a zero-shot dialogue state tracking model.

DIALOGUE STATE TRACKING QUESTION ANSWERING READING COMPREHENSION

Joint Contextual Modeling for ASR Correction and Language Understanding

28 Jan 2020

As a baseline approach, we trained task-specific Statistical Language Models (SLM) and fine-tuned state-of-the-art Generalized Pre-training (GPT) Language Model to re-rank the n-best ASR hypotheses, followed by a model to identify the dialog act and slots.

DIALOGUE STATE TRACKING LANGUAGE MODELLING SPEECH RECOGNITION