An Intelligent Approach to Automatic Query Formation from Plain Text using Artificial Intelligence

Dublin Core

Title

An Intelligent Approach to Automatic Query Formation from Plain Text using Artificial Intelligence

Subject

Automatic Question Generation, NLP, Intelligent Tutoring System (ITS), IR, Query Processing

Description

Man have always been, inherently, curious creatures. They ask questions in order to satiate their insatiable curiosity. For example, kids ask questions to learn more from their teachers, teachers ask questions to assist themselves to evaluate student performance, and we all ask questions in our daily lives. Numerous learning exchanges, ranging from one-on-one tutoring sessions to thorough exams, as well as real-life debates, rely heavily on questions. One notable fact is that, due to their inconsistency in particular contexts, humans are often inept at asking appropriate questions. It has been discovered that most people have difficulty identifying their own knowledge gaps. This becomes our primary motivator for automating question generation in the hopes that the benefits of an automated Question Generation (QG) system will help humans achieve their useful inquiry needs. QG and Information Extraction (IE) have become two major issues for language processing communities, and QG has recently become an important component of learning environments, systems, and information seeking systems, among other applications. The Text-to-Question generation job has piqued the interest of the Natural Language Processing (NLP), Natural Language Generation (NLG), Intelligent Tutoring System (ITS), and Information Retrieval (IR) groups as a possible option for the shared task. A text is submitted to a QG system in the Text-to-Question generation task. Its purpose would be to create a series of questions for which the text has answers (such as a word, a set of words, a single sentence, a text, a set of texts, a stretch of conversational dialogue, an inadequate query, and so on).. (Abstract)

Creator

Mohd Akbar, Mohd Shahid Hussain, Mohd Suaib

Source

www.ijcit.com

Date

June 2022

Contributor

peri irawan

Format

pdf

Language

english

Type

text

Files

Citation

Mohd Akbar, Mohd Shahid Hussain, Mohd Suaib, “An Intelligent Approach to Automatic Query Formation from Plain Text using Artificial Intelligence,” Repository Horizon University Indonesia, accessed June 1, 2025, https://repository.horizon.ac.id/items/show/9030.