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    Automatic Question Extractor and Answer Detector in a Recorded Webinar
    (IEEE, 2022-08-18) Dissanayake, C; Kodagoda, N; Suriyawansa, K
    Online learning becomes the primary method of education due to the novel coronavirus (COVID 19). This research paper describes the automatic extraction of domain-related questions in a lecture video, identifies the answers given by the lecturer for both voice-based questions and chat questions. The paper also presents a method to identify whether a lecturer gave a valid answer for the chat-based questions in the later section of the video. Additionally, this paper describes the approach to identify the most accurate solutions from the custom search engine-based responses.