Service chatbots: A systematic review
Chatbots or Conversational agents are the next significant technological leap in the field of
conversational services, that is, enabling a device to communicate with a user upon …
conversational services, that is, enabling a device to communicate with a user upon …
Modeling discriminative representations for out-of-domain detection with supervised contrastive learning
Detecting Out-of-Domain (OOD) or unknown intents from user queries is essential in a task-
oriented dialog system. A key challenge of OOD detection is to learn discriminative semantic …
oriented dialog system. A key challenge of OOD detection is to learn discriminative semantic …
Coached conversational preference elicitation: A case study in understanding movie preferences
Conversational recommendation has recently attracted significant attention. As systems
must understand users' preferences, training them has called for conversational corpora …
must understand users' preferences, training them has called for conversational corpora …
Adding chit-chat to enhance task-oriented dialogues
Existing dialogue corpora and models are typically designed under two disjoint motives:
while task-oriented systems focus on achieving functional goals (eg, booking hotels), open …
while task-oriented systems focus on achieving functional goals (eg, booking hotels), open …
Deep learning based chatbot models
R Csaky - arXiv preprint arXiv:1908.08835, 2019 - arxiv.org
A conversational agent (chatbot) is a piece of software that is able to communicate with
humans using natural language. Modeling conversation is an important task in natural …
humans using natural language. Modeling conversation is an important task in natural …
Tod4ir: A humanised task-oriented dialogue system for industrial robots
C Li, X Zhang, D Chrysostomou, H Yang - IEEE Access, 2022 - ieeexplore.ieee.org
Despite the fact that task-oriented conversation systems have received much attention from
the dialogue research community, only a handful of them have been studied in a real-world …
the dialogue research community, only a handful of them have been studied in a real-world …
Revisit overconfidence for ood detection: Reassigned contrastive learning with adaptive class-dependent threshold
Abstract Detecting Out-of-Domain (OOD) or unknown intents from user queries is essential
in a task-oriented dialog system. A key challenge of OOD detection is the overconfidence of …
in a task-oriented dialog system. A key challenge of OOD detection is the overconfidence of …
Adversarial self-supervised learning for out-of-domain detection
Detecting out-of-domain (OOD) intents is crucial for the deployed task-oriented dialogue
system. Previous unsupervised OOD detection methods only extract discriminative features …
system. Previous unsupervised OOD detection methods only extract discriminative features …
It's how you say it: Identifying appropriate register for chatbot language design
Designing chatbots that produce language that is natural and appropriate to a given context
is critical in satisfying user expectations. Currently, little is known about how a chatbot's …
is critical in satisfying user expectations. Currently, little is known about how a chatbot's …
A large-scale user study of an Alexa prize chatbot: Effect of TTS dynamism on perceived quality of social dialog
This study tests the effect of cognitive-emotional expression in an Alexa text-to-speech (TTS)
voice on users' experience with a social dialog system. We systematically introduced …
voice on users' experience with a social dialog system. We systematically introduced …