Text2text question classification (TQC) is a foundational task in the question classification
(QC) field, with a wide range of applications in both industry and academia, such as …

Text2text question classification (TQC), as a particular application case of question
classification (QC), is of great practical value. Traditional QC methods usually label …

Question classification is a basic work in natural language processing, which has an
important influence on question answering. Due to question sentences are complicated in …

Question classification (QC) is a process that involves classifying questions based on their
type to enable systems to provide accurate responses by matching the question type with …

Deep neural networks have significantly contributed to the success in predictive accuracy for
classification tasks. However, they tend to make over-confident predictions in real-world …

Text classification is a research hotspot in the field of natural language processing. Existing
text classification models based on supervised learning, especially deep learning models …

This paper introduces a novel ensemble approach for question classification using state-of-
the-art models--Electra, GloVe, and LSTM. The proposed model is trained and evaluated on …

With the development of E-commerce, an Automated Question-Answering system takes a
crucial part in customer service. Question classification, which assigns labels to questions …

Neural models have achieved significant results on the text-to-SQL task, in which most
current work assumes all the input questions are legal and generates a SQL query for any …

Text classifiers built on Pre-trained Language Models (PLMs) have achieved remarkable
progress in various tasks including sentiment analysis, natural language inference, and …