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 …
Hybrid query expansion using lexical resources and word embeddings for sentence retrieval in question answering
Question Answering (QA) systems based on Information Retrieval return precise answers to
natural language questions, extracting relevant sentences from document collections …
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 …
providing uninterrupted customer service and reducing response time. However, users still …
Talk to The Ghost: The Storybox methodology for faster development of storytelling chatbots
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 …
structuring knowledge and conversations around a story (D-PAF), with a live chatroom …
[PDF][PDF] A Survey on Response Selection for Retrieval-based Dialogues.
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 …
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
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 …
topic in the area of computer science. However, a chatbot often fails to understand the user's …
Dynamic curriculum learning for conversation response selection
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 …
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
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 …
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 …
methods based on Stock Kee** Unit (SKU) attributes. Recent works suggest the use of …
Multi-turn Response Selection with Commonsense-enhanced Language Models
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 …
response selection is a general research problem in dialogue systems. With the assistance …