Service chatbots: A systematic review

SM Suhaili, N Salim, MN Jambli - Expert Systems with Applications, 2021 - Elsevier
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 …

Hybrid query expansion using lexical resources and word embeddings for sentence retrieval in question answering

M Esposito, E Damiano, A Minutolo, G De Pietro… - Information …, 2020 - Elsevier
Question Answering (QA) systems based on Information Retrieval return precise answers to
natural language questions, extracting relevant sentences from document collections …

[HTML][HTML] Understanding the joint effects of internal and external anthropomorphic cues of intelligent customer service bot on user satisfaction

Y Hu, Y Sun - Data and Information Management, 2023 - Elsevier
As one specific type of chatbot, Intelligent Customer Service Bot (ICSB) satisfies users by
providing uninterrupted customer service and reducing response time. However, users still …

Talk to The Ghost: The Storybox methodology for faster development of storytelling chatbots

D Jackson, A Latham - Expert Systems with Applications, 2022 - Elsevier
This paper presents the Storybox Methodology which combines a novel framework for
structuring knowledge and conversations around a story (D-PAF), with a live chatroom …

[PDF][PDF] A Survey on Response Selection for Retrieval-based Dialogues.

C Tao, J Feng, R Yan, W Wu, D Jiang - IJCAI, 2021 - academia.edu
Building an intelligent dialogue system capable of naturally and coherently conversing with
humans has been a long-standing goal of artificial intelligence. In the past decade, with the …

Supervised ensemble sentiment-based framework to measure chatbot quality of services

EH Almansor, FK Hussain, OK Hussain - Computing, 2021 - Springer
Develo** an intelligent chatbot has evolved in the last few years to become a trending
topic in the area of computer science. However, a chatbot often fails to understand the user's …

Dynamic curriculum learning for conversation response selection

G Chen, R Zhan, DF Wong, LS Chao - Knowledge-Based Systems, 2024 - Elsevier
Curriculum learning (CL) has demonstrated its potential to fine-tune pre-trained models for
the response selection task. However, existing CL works exhibit a significant reliance on …

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 …

A siamese neural network application for sales forecasting of new fashion products using heterogeneous data

G Craparotta, S Thomassey, A Biolatti - International Journal of …, 2019 - Springer
In the fashion market, the lack of historical sales data for new products imposes the use of
methods based on Stock Kee** Unit (SKU) attributes. Recent works suggest the use of …

Multi-turn Response Selection with Commonsense-enhanced Language Models

Y Wang, X Ren, T Chen, Y Dong, NQV Hung… - arxiv preprint arxiv …, 2024 - arxiv.org
As a branch of advanced artificial intelligence, dialogue systems are prospering. Multi-turn
response selection is a general research problem in dialogue systems. With the assistance …