" Do you follow me?": A Survey of Recent Approaches in Dialogue State Tracking
While communicating with a user, a task-oriented dialogue system has to track the user's
needs at each turn according to the conversation history. This process called dialogue state …
needs at each turn according to the conversation history. This process called dialogue state …
Unified dialog model pre-training for task-oriented dialog understanding and generation
Recently, pre-training methods have shown remarkable success in task-oriented dialog
(TOD) systems. However, most existing pre-trained models for TOD focus on either dialog …
(TOD) systems. However, most existing pre-trained models for TOD focus on either dialog …
On the effectiveness of offline RL for dialogue response generation
A common training technique for language models is teacher forcing (TF). TF attempts to
match human language exactly, even though identical meanings can be expressed in …
match human language exactly, even though identical meanings can be expressed in …
Robust dialogue state tracking with weak supervision and sparse data
Generalizing dialogue state tracking (DST) to new data is especially challenging due to the
strong reliance on abundant and fine-grained supervision during training. Sample sparsity …
strong reliance on abundant and fine-grained supervision during training. Sample sparsity …
Space-3: Unified dialog model pre-training for task-oriented dialog understanding and generation
Recently, pre-training methods have shown remarkable success in task-oriented dialog
(TOD) systems. However, most existing pre-trained models for TOD focus on either dialog …
(TOD) systems. However, most existing pre-trained models for TOD focus on either dialog …
MoNET: Tackle state momentum via noise-enhanced training for dialogue state tracking
Dialogue state tracking (DST) aims to convert the dialogue history into dialogue states which
consist of slot-value pairs. As condensed structural information memorizing all history …
consist of slot-value pairs. As condensed structural information memorizing all history …
Chain of Thought Explanation for Dialogue State Tracking
Dialogue state tracking (DST) aims to record user queries and goals during a conversational
interaction achieved by maintaining a prede-fined set of slots and their corresponding …
interaction achieved by maintaining a prede-fined set of slots and their corresponding …
Unidu: Towards a unified generative dialogue understanding framework
With the development of pre-trained language models, remarkable success has been
witnessed in dialogue understanding (DU). However, current DU approaches usually …
witnessed in dialogue understanding (DU). However, current DU approaches usually …
Turn-Level Active Learning for Dialogue State Tracking
Dialogue state tracking (DST) plays an important role in task-oriented dialogue systems.
However, collecting a large amount of turn-by-turn annotated dialogue data is costly and …
However, collecting a large amount of turn-by-turn annotated dialogue data is costly and …
Improving few-shot performance of dst model through multitask to better serve language-impaired people
M Sun, Q Gao, Y Mou, G Dong, R Liu… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Artificial intelligence-based virtual assistants make people's daily life more convenient.
However, the utterances of language-impaired people are limited and different in …
However, the utterances of language-impaired people are limited and different in …