Obligation and prohibition extraction using hierarchical RNNs

I Chalkidis, I Androutsopoulos, A Michos - arXiv preprint arXiv:1805.03871, 2018 - arxiv.org
We consider the task of detecting contractual obligations and prohibitions. We show that a
self-attention mechanism improves the performance of a BILSTM classifier, the previous …

Overview of the sixth dialog system technology challenge: DSTC6

C Hori, J Perez, R Higashinaka, T Hori… - Computer Speech & …, 2019 - Elsevier
This paper describes the experimental setups and the evaluation results of the sixth Dialog
System Technology Challenges (DSTC6) aiming to develop end-to-end dialogue systems …

Measuring chatbot quality of service to predict human-machine hand-over using a character deep learning model

EH Almansor, FK Hussain… - International Journal of …, 2022 - inderscienceonline.com
Recently, intelligent dialogue systems have shown promise in terms of reducing the load of
human customer care agents and decreasing user wait times. In some cases, these systems …

[HTML][HTML] Emotion analysis and dialogue breakdown detection in dialogue of chat systems based on deep neural networks

K Matsumoto, M Sasayama, M Yoshida, K Kita, F Ren - Electronics, 2022 - mdpi.com
In dialogues between robots or computers and humans, dialogue breakdown analysis is an
important tool for achieving better chat dialogues. Conventional dialogue breakdown …

LSTM for dialogue breakdown detection: exploration of different model types and word embeddings

M Hendriksen, A Leeuwenberg, MF Moens - Increasing Naturalness and …, 2021 - Springer
One of the principal problems of human-computer interaction is miscommunication.
Occurring mainly on behalf of the dialogue system, miscommunication can lead to dialogue …

[PDF][PDF] Evaluating dialogue breakdown detection in chat-oriented dialogue systems

Y Tsunomori, R Higashinaka, T Takahashi… - Proceedings of the …, 2018 - semdial.org
The task of detecting dialogue breakdown, the aim of which is to detect whether a system
utterance causes dialogue breakdown in a given dialogue context, has been actively …

[PDF][PDF] Improving Dialogue Smoothing with A-priori State Pruning.

M Serras, MI Torres, A Del Pozo - ICPRAM, 2020 - scitepress.org
When Dialogue Systems (DS) face real usage, a challenge to solve is managing unforeseen
situations without breaking the coherence of the dialogue. One way to achieve this is by …

Modeling the chatbot quality of services (CQoS) using word embedding to intelligently detect inappropriate responses

EH Almansor, FK Hussain - … and Applications: Proceedings of the 34th …, 2020 - Springer
The rapid growth of intelligent chatbots as conversational agents with the assistance of
artificial intelligence has recently attracted much research attention. The major role of a …

[图书][B] Intelligent and Proactive Approach for The Optimal Handling of Low Chatbot Quality of Services (CQoS)

EH Almansor - 2022 - search.proquest.com
Recently, the chatbot has evolved into a trending topic in the area of computer science. The
rapid growth of intelligent chatbots as conversational agents with artifcial intelligence has …

Supervised fusion content-based framework for breakdown detection in task-oriented conversational systems

M Aldahash, Y Li, Y Xu - Web Intelligence - content.iospress.com
Conversational agents (CAs) have been widely used for many domains, such as healthcare,
education, and business. One main category of CAs is task-oriented CAs, which aim to help …