Analysis of community question‐answering issues via machine learning and deep learning: State‐of‐the‐art review
Over the last couple of decades, community question‐answering sites (CQAs) have been a
topic of much academic interest. Scholars have often leveraged traditional machine learning …
topic of much academic interest. Scholars have often leveraged traditional machine learning …
Unifying large language models and knowledge graphs: A roadmap
Large language models (LLMs), such as ChatGPT and GPT4, are making new waves in the
field of natural language processing and artificial intelligence, due to their emergent ability …
field of natural language processing and artificial intelligence, due to their emergent ability …
Introduction to neural network‐based question answering over knowledge graphs
Question answering has emerged as an intuitive way of querying structured data sources
and has attracted significant advancements over the years. A large body of recent work on …
and has attracted significant advancements over the years. A large body of recent work on …
[HTML][HTML] AI-based learning content generation and learning pathway augmentation to increase learner engagement
Retaining learner engagement is a major challenge in online learning environments, which
is even more intensified with learning spaces increasingly built by combining resources from …
is even more intensified with learning spaces increasingly built by combining resources from …
Learning to rank query graphs for complex question answering over knowledge graphs
In this paper, we conduct an empirical investigation of neural query graph ranking
approaches for the task of complex question answering over knowledge graphs. We …
approaches for the task of complex question answering over knowledge graphs. We …
Chatbot Interaction with Artificial Intelligence: human data augmentation with T5 and language transformer ensemble for text classification
In this work we present the Chatbot Interaction with Artificial Intelligence (CI-AI) framework
as an approach to the training of a transformer based chatbot-like architecture for task …
as an approach to the training of a transformer based chatbot-like architecture for task …
Analyzing user perspectives on mobile app privacy at scale
In this paper we present a methodology to analyze users' concerns and perspectives about
privacy at scale. We leverage NLP techniques to process millions of mobile app reviews and …
privacy at scale. We leverage NLP techniques to process millions of mobile app reviews and …
Introduction to neural network based approaches for question answering over knowledge graphs
Question answering has emerged as an intuitive way of querying structured data sources,
and has attracted significant advancements over the years. In this article, we provide an …
and has attracted significant advancements over the years. In this article, we provide an …
Challenges, techniques, and trends of simple knowledge graph question answering: a survey
Simple questions are the most common type of questions used for evaluating a knowledge
graph question answering (KGQA). A simple question is a question whose answer can be …
graph question answering (KGQA). A simple question is a question whose answer can be …
Question answer system: A state-of-art representation of quantitative and qualitative analysis
Question Answer System (QAS) automatically answers the question asked in natural
language. Due to the varying dimensions and approaches that are available, QAS has a …
language. Due to the varying dimensions and approaches that are available, QAS has a …