A review on the long short-term memory model

G Van Houdt, C Mosquera, G Nápoles - Artificial Intelligence Review, 2020 - Springer
Long short-term memory (LSTM) has transformed both machine learning and
neurocomputing fields. According to several online sources, this model has improved …

[PDF][PDF] What do you mean? A Review on Recovery Strategies to Overcome Conversational Breakdowns of Conversational Agents.

D Benner, E Elshan, S Schöbel, A Janson - ICIS, 2021 - alexandria.unisg.ch
Since the emergence of conversational agents, this technology has seen continuous
development and research. Today, advanced conversational agents are virtually …

Memristor-based LSTM network for text classification

G Dou, K Zhao, MEI Guo, JUN Mou - Fractals, 2023 - World Scientific
Long short-term memory (LSTM) with significantly increased complexity and a large number
of parameters have a bottleneck in computing power resulting from limited memory capacity …

[PDF][PDF] Designing Effective Conversational Repair Strategies for Chatbots.

F Reinkemeier, U Gnewuch - ECIS, 2022 - researchgate.net
Conversational breakdowns often force users to go through frustrating loops of trial and error
when trying to get answers from chatbots. Although research has emphasized the potential …

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 …

[PDF][PDF] Towards Designing a Conversation Mining System for Customer Service Chatbots.

D Schloss, U Gnewuch, A Maedche - ICIS, 2022 - researchgate.net
Chatbots are increasingly used to provide customer service. However, despite technological
advances, customer service chatbots frequently reach their limits in customer interactions …

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 …

Development of Method for Detecting Conversation Breakdown Using Behavioral Information

A Kawamoto, K Wada, N Saito - 2020 International Symposium …, 2020 - ieeexplore.ieee.org
Existing conversation systems have difficulty in communicating smoothly. One of the reasons
is that the robot cannot recognize the conversation breakdown. To solve this problem, we …

[LIBRO][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 …

[PDF][PDF] Towards a framework for intelligent document image enhancement in pursuit of improved OCR performance

R Kleinhans - 2023 - scholar.sun.ac.za
A characteristic trait of the age of digitalisation is the ubiquitous transition from paper-reliant
and manual-based business processes to completely digital, computer-assisted and …