Dataset Generation: Used GPT-4.0 to create a diverse dataset of survey questions categorized into multiple types (e.g., open-ended, multiple-choice, rating scale). Question Classification: Implemented ...

In this work, we investigate the application of attention-based hierarchical LSTM architecture variants to the problem of question classification. Question classification is often the first and ...

Questions Classification assumes a significant part in question answering systems, with one of the most important steps in the enhancement of the classification process being the identification of ...

Abstract: The first step in the question-answer system is question analysis. This step was carried out with various processes, one of them was question classification. The question classification ...

Abstract: Question classification is very important in question answering system. This paper presents our research about question classification in a real-world on-line interactive question answering ...

In this study, we demonstrate how supervised learning can extract interpretable survey motivation measurements from a large number of responses to an open-ended question. We manually coded a subsample ...

Crop disease-pest question classification is an essential part of pest knowledge intelligent question answering system. A crop disease-pest question classification method is proposed on the basis of ...

[Objective] To study the effects of different word vectors and deep learning models on the classification results of agricultural questions, so as to provide technical support for the construction of ...