[HTML][HTML] Pre-trained language models and their applications
Pre-trained language models have achieved striking success in natural language
processing (NLP), leading to a paradigm shift from supervised learning to pre-training …
processing (NLP), leading to a paradigm shift from supervised learning to pre-training …
A review of ai-driven conversational chatbots implementation methodologies and challenges (1999–2022)
A conversational chatbot or dialogue system is a computer program designed to simulate
conversation with human users, especially over the Internet. These chatbots can be …
conversation with human users, especially over the Internet. These chatbots can be …
Graph neural networks for natural language processing: A survey
Deep learning has become the dominant approach in addressing various tasks in Natural
Language Processing (NLP). Although text inputs are typically represented as a sequence …
Language Processing (NLP). Although text inputs are typically represented as a sequence …
A brief review of domain adaptation
Classical machine learning assumes that the training and test sets come from the same
distributions. Therefore, a model learned from the labeled training data is expected to …
distributions. Therefore, a model learned from the labeled training data is expected to …
Recent advances in deep learning based dialogue systems: A systematic survey
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 …
real-life applications. It is also a complicated task since many NLP tasks deserving study are …
[HTML][HTML] A state-of-the-art survey on deep learning theory and architectures
In recent years, deep learning has garnered tremendous success in a variety of application
domains. This new field of machine learning has been growing rapidly and has been …
domains. This new field of machine learning has been growing rapidly and has been …
Improving conversational recommender systems via knowledge graph based semantic fusion
Conversational recommender systems (CRS) aim to recommend high-quality items to users
through interactive conversations. Although several efforts have been made for CRS, two …
through interactive conversations. Although several efforts have been made for CRS, two …
Session-based recommendation with graph neural networks
The problem of session-based recommendation aims to predict user actions based on
anonymous sessions. Previous methods model a session as a sequence and estimate user …
anonymous sessions. Previous methods model a session as a sequence and estimate user …
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 …
The woman worked as a babysitter: On biases in language generation
We present a systematic study of biases in natural language generation (NLG) by analyzing
text generated from prompts that contain mentions of different demographic groups. In this …
text generated from prompts that contain mentions of different demographic groups. In this …