[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 …

Deep learning for sentiment analysis: A survey

L Zhang, S Wang, B Liu - Wiley Interdisciplinary Reviews: Data …, 2018 - Wiley Online Library
Deep learning has emerged as a powerful machine learning technique that learns multiple
layers of representations or features of the data and produces state‐of‐the‐art prediction …

A survey of controllable text generation using transformer-based pre-trained language models

H Zhang, H Song, S Li, M Zhou, D Song - ACM Computing Surveys, 2023 - dl.acm.org
Controllable Text Generation (CTG) is an emerging area in the field of natural language
generation (NLG). It is regarded as crucial for the development of advanced text generation …

Dailydialog: A manually labelled multi-turn dialogue dataset

Y Li, H Su, X Shen, W Li, Z Cao, S Niu - arxiv preprint arxiv:1710.03957, 2017 - arxiv.org
We develop a high-quality multi-turn dialog dataset, DailyDialog, which is intriguing in
several aspects. The language is human-written and less noisy. The dialogues in the …

Understanding the benefits and challenges of deploying conversational AI leveraging large language models for public health intervention

E Jo, DA Epstein, H Jung, YH Kim - … of the 2023 CHI Conference on …, 2023 - dl.acm.org
Recent large language models (LLMs) have advanced the quality of open-ended
conversations with chatbots. Although LLM-driven chatbots have the potential to support …

Dialoguegcn: A graph convolutional neural network for emotion recognition in conversation

D Ghosal, N Majumder, S Poria, N Chhaya… - arxiv preprint arxiv …, 2019 - arxiv.org
Emotion recognition in conversation (ERC) has received much attention, lately, from
researchers due to its potential widespread applications in diverse areas, such as health …

A survey on dialogue systems: Recent advances and new frontiers

H Chen, X Liu, D Yin, J Tang - Acm Sigkdd Explorations Newsletter, 2017 - dl.acm.org
Dialogue systems have attracted more and more attention. Recent advances on dialogue
systems are overwhelmingly contributed by deep learning techniques, which have been …

Cognitive architectures for language agents

TR Sumers, S Yao, K Narasimhan… - arxiv preprint arxiv …, 2023 - arxiv.org
Recent efforts have incorporated large language models (LLMs) with external resources (eg,
the Internet) or internal control flows (eg, prompt chaining) for tasks requiring grounding or …

[HTML][HTML] Artificial intelligence–based chatbots for promoting health behavioral changes: Systematic review

A Aggarwal, CC Tam, D Wu, X Li, S Qiao - Journal of medical Internet …, 2023 - jmir.org
Background Artificial intelligence (AI)–based chatbots can offer personalized, engaging, and
on-demand health promotion interventions. Objective The aim of this systematic review was …

Cosmic: Commonsense knowledge for emotion identification in conversations

D Ghosal, N Majumder, A Gelbukh, R Mihalcea… - arxiv preprint arxiv …, 2020 - arxiv.org
In this paper, we address the task of utterance level emotion recognition in conversations
using commonsense knowledge. We propose COSMIC, a new framework that incorporates …