Publication:
Automatic Question Extractor and Answer Detector in a Recorded Webinar

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dc.contributor.authorDissanayake, C
dc.contributor.authorKodagoda, N
dc.contributor.authorSuriyawansa, K
dc.date.accessioned2022-11-29T08:00:03Z
dc.date.available2022-11-29T08:00:03Z
dc.date.issued2022-08-18
dc.description.abstractOnline 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.en_US
dc.identifier.citationC. Dissanayake, N. Kodagoda and K. Suriyawansa, "Automatic Question Extractor and Answer Detector in a Recorded Webinar," 2022 International Symposium on Electrical, Electronics and Information Engineering (ISEEIE), 2022, pp. 139-144, doi: 10.1109/ISEEIE55684.2022.00032.en_US
dc.identifier.doi10.1109/ISEEIE55684.2022.00032en_US
dc.identifier.isbn978-1-6654-6874-9
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/3088
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2022 International Symposium on Electrical, Electronics and Information Engineering (ISEEIE);
dc.subjectAutomaticen_US
dc.subjectQuestion Extractoren_US
dc.subjectAnswer Detectoren_US
dc.subjectRecorded Webinaren_US
dc.titleAutomatic Question Extractor and Answer Detector in a Recorded Webinaren_US
dc.typeArticleen_US
dspace.entity.typePublication

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