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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 – 15 of 15 1 Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse​ ... 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; Mamidi, Radhika; Pant, Kartikey. - : Underline Science Inc., 2022 BASE Show details 2 ViTA: Visual-Linguistic Translation by Aligning Object Tags ... Gupta, Kshitij; Gautam, Devansh; Mamidi, Radhika. - : arXiv, 2021 BASE Show details 3 HASOCOne@FIRE-HASOC2020: Using BERT and Multilingual BERT models for Hate Speech Detection ... Dowlagar, Suman; Mamidi, Radhika. - : arXiv, 2021 BASE Show details 4 Multilingual Pre-Trained Transformers and Convolutional NN Classification Models for Technical Domain Identification ... Dowlagar, Suman; Mamidi, Radhika. - : arXiv, 2021 BASE Show details 5 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. - : Underline Science Inc., 2021 BASE Show details 6 gundapusunil at SemEval-2020 Task 9: Syntactic Semantic LSTM Architecture for SENTIment Analysis of Code-MIXed Data ... Gundapu, Sunil; Mamidi, Radhika. - : arXiv, 2020 BASE Show details 7 A SentiWordNet Strategy for Curriculum Learning in Sentiment Analysis ... Rao, Vijjini Anvesh; Anuranjana, Kaveri; Mamidi, Radhika. - : arXiv, 2020 BASE Show details 8 Word Level Language Identification in English Telugu Code Mixed Data ... Gundapu, Sunil; Mamidi, Radhika. - : arXiv, 2020 BASE Show details 9 A Sentiwordnet Strategy for Curriculum Learning in Sentiment Analysis Rao, Vijjini Anvesh; Anuranjana, Kaveri; Mamidi, Radhika In: Natural Language Processing and Information Systems (2020) BASE Show details 10 Conversational implicatures in English dialogue: Annotated dataset ... George, Elizabeth Jasmi; Mamidi, Radhika. - : arXiv, 2019 BASE Show details 11 BCSAT : A Benchmark Corpus for Sentiment Analysis in Telugu Using Word-level Annotations ... Parupalli, Sreekavitha; Rao, Vijjini Anvesh; Mamidi, Radhika. - : arXiv, 2018 BASE Show details 12 Automatic Target Recovery for Hindi-English Code Mixed Puns ... Aggarwal, Srishti; Mathur, Kritik; Mamidi, Radhika. - : arXiv, 2018 BASE Show details 13 Towards Automation of Sense-type Identification of Verbs in OntoSenseNet(Telugu) ... Parupalli, Sreekavitha; Rao, Vijjini Anvesh; Mamidi, Radhika. - : arXiv, 2018 BASE Show details 14 Towards Enhancing Lexical Resource and Using Sense-annotations of OntoSenseNet for Sentiment Analysis ... Parupalli, Sreekavitha; Rao, Vijjini Anvesh; Mamidi, Radhika. - : arXiv, 2018 BASE Show details 15 Context and Humor: Understanding Amul advertisements of India ... Mamidi, Radhika. - : arXiv, 2018 Abstract: Contextual knowledge is the most important element in understanding language. By contextual knowledge we mean both general knowledge and discourse knowledge i.e. knowledge of the situational context, background knowledge and the co-textual context [10]. In this paper, we will discuss the importance of contextual knowledge in understanding the humor present in the cartoon based Amul advertisements in India.In the process, we will analyze these advertisements and also see if humor is an effective tool for advertising and thereby, for marketing.These bilingual advertisements also expect the audience to have the appropriate linguistic knowledge which includes knowledge of English and Hindi vocabulary, morphology and syntax. Different techniques like punning, portmanteaus and parodies of popular proverbs, expressions, acronyms, famous dialogues, songs etc are employed to convey the message in a humorous way. The present study will concentrate on these linguistic cues and the required context for understanding wit ... : Presented at Workshop in Designing Humour in Human-Computer Interaction (HUMIC 2017). September 26th 2017, Mumbai, India. In conjunction with INTERACT 2017 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/1804.05398 https://dx.doi.org/10.48550/arxiv.1804.05398 BASE Hide details

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