Along with the explosion of ChatGPT, the artificial intelligence question-answering system
has been pushed to a climax. Intelligent question-answering enables computers to simulate …

Nowadays, community-based question answering (CQA) systems are popular and have
accumulated a large number of questions and answers provided by users. How to …

Climate has always become part of an essential role in human life on earth. Climate change
is a scorching topic because of various prediction efforts to predict the future of the earth's …

Passage reranking is a critical task in various applications, particularly when dealing with
large volumes of documents. Existing neural architectures have limitations in retrieving the …

Answer retrieval is a crucial step in question answering. To determine the best Q–A pair in a
candidate pool, traditional approaches adopt triplet loss (ie, pairwise ranking loss) for a …

We propose a novel supervised approach for multi-label text classification, which is based
on a neural network architecture consisting of a single encoder and multiple classifier …

Our brain is capable of annotating or classifying any image that emerges in front of us. What
about computers, though? How can a computer process an image and identify it with a …

Accurate and timely short-term prediction of traffic states has become a key element in most
of the intelligent transport systems. This research investigated a new attention-based deep …

Answer selection (AS) is an important subtask of question answering (QA) that aims to
choose the most suitable answer from a list of candidate answers. Existing AS models …

Answer selection (AS) is an important subtask of question answering (QA) that aims to
choose the most suitable answer from a list of candidate answers. Existing AS models …