[HTML][HTML] Chatbots: History, technology, and applications

E Adamopoulou, L Moussiades - Machine Learning with applications, 2020 - Elsevier
This literature review presents the History, Technology, and Applications of Natural Dialog
Systems or simply chatbots. It aims to organize critical information that is a necessary …

A critical review of state‐of‐the‐art chatbot designs and applications

B Luo, RYK Lau, C Li, YW Si - Wiley Interdisciplinary Reviews …, 2022 - Wiley Online Library
Chatbots are intelligent conversational agents that can interact with users through natural
languages. As chatbots can perform a variety of tasks, many companies have committed …

Is ChatGPT a general-purpose natural language processing task solver?

C Qin, A Zhang, Z Zhang, J Chen, M Yasunaga… - arXiv preprint arXiv …, 2023 - arxiv.org
Spurred by advancements in scale, large language models (LLMs) have demonstrated the
ability to perform a variety of natural language processing (NLP) tasks zero-shot--ie, without …

A survey on large language models for recommendation

L Wu, Z Zheng, Z Qiu, H Wang, H Gu, T Shen, C Qin… - World Wide Web, 2024 - Springer
Abstract Large Language Models (LLMs) have emerged as powerful tools in the field of
Natural Language Processing (NLP) and have recently gained significant attention in the …

Large language models for information retrieval: A survey

Y Zhu, H Yuan, S Wang, J Liu, W Liu, C Deng… - arXiv preprint arXiv …, 2023 - arxiv.org
As a primary means of information acquisition, information retrieval (IR) systems, such as
search engines, have integrated themselves into our daily lives. These systems also serve …

An overview of chatbot technology

E Adamopoulou, L Moussiades - IFIP international conference on artificial …, 2020 - Springer
The use of chatbots evolved rapidly in numerous fields in recent years, including Marketing,
Supporting Systems, Education, Health Care, Cultural Heritage, and Entertainment. In this …

Recent advances in deep learning based dialogue systems: A systematic survey

J Ni, T Young, V Pandelea, F Xue… - Artificial intelligence review, 2023 - Springer
Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …

Improving conversational recommender systems via knowledge graph based semantic fusion

K Zhou, WX Zhao, S Bian, Y Zhou, JR Wen… - Proceedings of the 26th …, 2020 - dl.acm.org
Conversational recommender systems (CRS) aim to recommend high-quality items to users
through interactive conversations. Although several efforts have been made for CRS, two …

Poly-encoders: Transformer architectures and pre-training strategies for fast and accurate multi-sentence scoring

S Humeau, K Shuster, MA Lachaux… - arXiv preprint arXiv …, 2019 - arxiv.org
The use of deep pre-trained bidirectional transformers has led to remarkable progress in a
number of applications (Devlin et al., 2018). For tasks that make pairwise comparisons …

A review of the trends and challenges in adopting natural language processing methods for education feedback analysis

T Shaik, X Tao, Y Li, C Dann, J McDonald… - Ieee …, 2022 - ieeexplore.ieee.org
Artificial Intelligence (AI) is a fast-growing area of study that stretching its presence to many
business and research domains. Machine learning, deep learning, and natural language …