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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 ViTA: Visual-Linguistic Translation by Aligning Object Tags ... Gupta, Kshitij; Gautam, Devansh; Mamidi, Radhika. - : arXiv, 2021 BASE Show details 2 HASOCOne@FIRE-HASOC2020: Using BERT and Multilingual BERT models for Hate Speech Detection ... Dowlagar, Suman; Mamidi, Radhika. - : arXiv, 2021 BASE Show details 3 Multilingual Pre-Trained Transformers and Convolutional NN Classification Models for Technical Domain Identification ... Dowlagar, Suman; Mamidi, Radhika. - : arXiv, 2021 BASE Show details 4 Automatic Learning Assistant in Telugu ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bommadi, Meghana; Mamidi, Radhika; Terupally, Shreya. - : Underline Science Inc., 2021 Abstract: This paper presents a learning assistant that tests one's knowledge and gives feedback that helps a person learn at a faster pace. A learning assistant based on an automated question generation has extensive uses in education, information websites, self-assessment, FAQs, testing ML agents, research, etc. Multiple researchers, and companies have worked on Virtual Assistance, but majorly in English. Our work covers the fundamental question forms with question types: adjective, yes/no, adverb, verb, when, where, whose, quotative, and quantitative (how many/how much). We constructed rules for question generation using Part of Speech (POS) tags and Universal Dependency (UD) tags along with linguistic information of the surrounding relevant context of the word. Our system is primarily built on question generation in Telugu, and is also capable of evaluating the user's answers to the generated questions. ... Keyword: Computational Linguistics; Condensed Matter Physics; FOS Physical sciences; Information and Knowledge Engineering; Machine Learning; Neural Network; Semantics URL: https://underline.io/lecture/29898-automatic-learning-assistant-in-telugu https://dx.doi.org/10.48448/0pb2-4461 BASE Hide details

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