Improve Academic Query Resolution through BERT-based Question Extraction from Images

arXiv:2405.01587v1 Announce Type: cross
Abstract: Providing fast and accurate resolution to the student's query is an essential solution provided by Edtech organizations. This is generally provided with a chat-bot like interface to enable students to ask their doubts easily. One preferred format for student queries is images, as it allows students to capture and post questions without typing complex equations and information. However, this format also presents difficulties, as images may contain multiple questions or textual noise that lowers the …

abstract academic arxiv bert bot chat cs.ai cs.cl cs.cv cs.lg edtech extraction format images organizations queries query question resolution solution students through type