Recent advances in deep learning based dialogue systems: A systematic survey
Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …
real-life applications. It is also a complicated task since many NLP tasks deserving study are …
Rethinking explainability as a dialogue: A practitioner's perspective
As practitioners increasingly deploy machine learning models in critical domains such as
health care, finance, and policy, it becomes vital to ensure that domain experts function …
health care, finance, and policy, it becomes vital to ensure that domain experts function …
A probabilistic end-to-end task-oriented dialog model with latent belief states towards semi-supervised learning
Y Zhang, Z Ou, H Wang, J Feng - arXiv preprint arXiv:2009.08115, 2020 - arxiv.org
Structured belief states are crucial for user goal tracking and database query in task-oriented
dialog systems. However, training belief trackers often requires expensive turn-level …
dialog systems. However, training belief trackers often requires expensive turn-level …
Learning knowledge bases with parameters for task-oriented dialogue systems
Task-oriented dialogue systems are either modularized with separate dialogue state
tracking (DST) and management steps or end-to-end trainable. In either case, the …
tracking (DST) and management steps or end-to-end trainable. In either case, the …
Shades of BLEU, flavours of success: The case of MultiWOZ
T Nekvinda, O Dušek - arXiv preprint arXiv:2106.05555, 2021 - arxiv.org
The MultiWOZ dataset (Budzianowski et al., 2018) is frequently used for benchmarking
context-to-response abilities of task-oriented dialogue systems. In this work, we identify …
context-to-response abilities of task-oriented dialogue systems. In this work, we identify …
Multi-task learning with graph attention networks for multi-domain task-oriented dialogue systems
M Zhao, L Wang, Z Jiang, R Li, X Lu, Z Hu - Knowledge-Based Systems, 2023 - Elsevier
A task-oriented dialogue system (TOD) is an important application of artificial intelligence. In
the past few years, works on multi-domain TODs have attracted increased research attention …
the past few years, works on multi-domain TODs have attracted increased research attention …
A survey of conversational search
As a cornerstone of modern information access, search engines have become
indispensable in everyday life. With the rapid advancements in AI and natural language …
indispensable in everyday life. With the rapid advancements in AI and natural language …
Cross-domain slot filling as machine reading comprehension: A new perspective
With intelligent dialogue systems becoming more and more important in our daily lives, slot
filling, one of the most important components of an intelligent dialogue system, has gotten a …
filling, one of the most important components of an intelligent dialogue system, has gotten a …
Lost in Dialogue: A Review and Categorisation of Current Dialogue System Approaches and Technical Solutions
Dialogue systems are an important and very active research area with many practical
applications. However, researchers and practitioners new to the field may have difficulty with …
applications. However, researchers and practitioners new to the field may have difficulty with …
Domain state tracking for a simplified dialogue system
Task-oriented dialogue systems aim to help users achieve their goals in specific domains.
Recent neural dialogue systems use the entire dialogue history for abundant contextual …
Recent neural dialogue systems use the entire dialogue history for abundant contextual …