Neural sentence embedding using only in-domain sentences for out-of-domain sentence detection in dialog systems

S Ryu, S Kim, J Choi, H Yu, GG Lee - Pattern Recognition Letters, 2017 - Elsevier
To ensure satisfactory user experience, dialog systems must be able to determine whether
an input sentence is in-domain (ID) or out-of-domain (OOD). We assume that only ID …

Fast and scalable expansion of natural language understanding functionality for intelligent agents

A Goyal, A Metallinou, S Matsoukas - arXiv preprint arXiv:1805.01542, 2018 - arxiv.org
Fast expansion of natural language functionality of intelligent virtual agents is critical for
achieving engaging and informative interactions. However, developing accurate models for …

An intelligent assistant for high-level task understanding

M Sun, YN Chen, AI Rudnicky - … of the 21st International Conference on …, 2016 - dl.acm.org
People are able to interact with domain-specific intelligent assistants (IAs) and get help with
tasks. But sometimes user goals are complex and may require interactions with multiple …

[PDF][PDF] Learning domain-independent dialogue policies via ontology parameterisation

Z Wang, TH Wen, PH Su… - Proceedings of the 16th …, 2015 - aclanthology.org
This paper introduces a novel approach to eliminate the domain dependence of dialogue
state and action representations, such that dialogue policies trained based on the proposed …

Discriminative methods for statistical spoken dialogue systems

MS Henderson - 2015 - repository.cam.ac.uk
Dialogue promises a natural and effective method for users to interact with and obtain
information from computer systems. Statistical spoken dialogue systems are able to …

[PDF][PDF] Understanding user's cross-domain intentions in spoken dialog systems

M Sun, YN Chen, AI Rudnicky - … on Machine Learning for SLU and …, 2015 - csie.ntu.edu.tw
Spoken language based intelligent assistants (IAs) have been developed for a number of
domains but their functionality has mostly been confined to the scope of a given app. One …

HELPR: A framework to break the barrier across domains in spoken dialog systems

M Sun, YN Chen, AI Rudnicky - Dialogues with Social Robots …, 2017 - Springer
People usually interact with intelligent agents (IAs) when they have certain goals to be
accomplished. Sometimes these goals are complex and may require interacting with …

Topic classifier for customer service dialog systems

M Serras, N Pérez, MI Torres, A Del Pozo… - Text, Speech, and …, 2015 - Springer
Using dialog systems to automatize customer services is becoming a common practice in
many business fields. These dialog systems are often required to relate the users' issues …

Adapting spoken dialog systems towards domains and users

M Sun - 2022 - orda.shef.ac.uk
Spoken dialog systems have been widely used, such as the voice applications or agents in
smart phone or smart car environments. However, speech systems are built using the …

[PDF][PDF] Learning user intentions spanning multiple domains

M Sun, YN Chen, AI Rudnicky - Workshop on Smart Connected and …, 2016 - d-nb.info
People are able to interact with domain-specific applications in smart environments and get
assistance with specific tasks. Current intelligent agents (IAs) tend to be limited to specific …