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Question Generation using Natural Language Processing in EdTech

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Jul 21, 2021
14:32

Timestamp: 00:00 Introduction 01:59 Pipeline 03:29 Google BERT for Extractive Test Summarisation 04:41 Python Keyphrase Extraction 05:46 Sentence Mapping with FlashText 06:44 Generating Distractors 07:27 WordNet 08:01 Snipped from Collab - WordNet 08:36 Word Sense Disambiguation 09:40 ConceptNet 11:12 Sense2Vec 12:30 Short Demo with Streamlit La Kopi @ Developers Space is a monthly open mic night for the developer community to learn, connect, and be inspired by each other. Every month, a tech theme is selected and developers submit their topics to be shared with the community. Name: Hardik Nahata (AI Engineer, Aspecto Technologies) Topic: Question Generation using Natural Language Processing in EdTech Learn how to leverage Natural Language Processing to generate multiple choice questions from any given text. We will look into tools such as Google's BERT models, Python Keyphrase Extraction, and HuggingFace. Key takeaways of this session includes: generating choices or distractors in multiple choice questions, and identifying the context of a word using word sense disambiguation. There will also be a live demo run of the solution. Be our next La Kopi Speaker → https://goo.gle/openmic​ For more updates on upcoming events, follow us on social media: ✉️ Newsletter → https://goo.gle/devspace-news 👤 Facebook → https://www.facebook.com/DevSpaceSG/ 🐦 Twitter → https://twitter.com/DevSpaceSG 🔴 Meetup →https://www.meetup.com/developer-space/

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Question Generation using Natural Language Processing in EdTech | NatokHD