Radhika Mamidi | |
|---|---|
| Occupation | Professor |
| Academic background | |
| Education | Ph.D |
| Academic work | |
| Institutions | IIIT-H |
Radhika Mamidi
editRadhika Mamidi joined as an Assistant Professor and later became an Associate Professor at IIIT-H.[1] Her major research areas are Computational Linguistics, with a focus on Machine Translation, Dialogue Systems, Sentiment Analysis, and Understanding Humor.
Education
editRadhika completed her Bachelor of Science degree with a focus on Mathematics, Physics, and Chemistry at Andhra University, India, from 1987 to 1990. She then pursued a Master of Arts in Applied Linguistics at the University of Hyderabad, India, from 1990 to 1992. Following her master's program, Radhika embarked on her MPhil in Applied Linguistics at the University of Hyderabad, which she completed between July 1992 and December 1993. Her MPhil thesis, titled Translation of Jokes from English to Telugu: Some Problems, was guided by Professor U. N. Singh. Radhika continued her academic journey by enrolling in a PhD program in Linguistics at the University of Hyderabad from January 1994 to December 1998, receiving her degree in 2001. Her doctoral research focused on Fiction into Films: A Study in Conversation Analysis, also under the guidance of Professor U. N. Singh.[2]
Research
edit- IndicSentEval : How Effectively do Multilingual Transformer Model encode Linguistic Properties of Indic Languages? in 2024.[3]
- Enhancing Code-Mixed Text Generation using Synthetic Data Filtering in Neural Machine Translation in 2023.[4]
- GAE-ISumm : Unsupervised Graph-Based Summarization of Indian Languages in 2022.[5]
- Sentiment Analysis in Code-Mixed Telugu-English Text with Unsupervised Data Normalization in 2021.[6]
- Multichannel LSTM-CNN for Telugu Text Classification in 2020.[7]
- Unsupervised approach for monitoring Satire on social media in 2019.[8]
- Exploring Chunk Based Templates for Generating a subset of English Text in 2018.[9]
- Domain independent keyword identification for question answering in 2017.[10]
- Enhanced sentiment classification of Telugu text using ML techniques in 2016.[11]
- Statistical Sandhi Splitter and its Effect on NLP Applications in 2015.[12]
References
edit- ^ "Faculty - LTRC". ltrc.iiit.ac.in. Retrieved 2024-10-24.
- ^ "Radhika Mamidi's page - Education". sites.google.com. Retrieved 2024-10-24.
- ^ Aravapalli, Akhilesh; Marreddy, Mounika; Oota, Subba Reddy; Mamidi, Radhika; Gupta, Manish (2024-10-03), IndicSentEval: How Effectively do Multilingual Transformer Models encode Linguistic Properties for Indic Languages?, retrieved 2024-10-28
- ^ Sravani, Dama; Mamidi, Radhika (2023). "Enhancing Code-mixed Text Generation Using Synthetic Data Filtering in Neural Machine Translation". Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL): 211–220.
- ^ Sireesha Vakada, Lakshmi; Ch, Anudeep; Marreddy, Mounika; Oota, Subba Reddy; Mamidi, Radhika (2022). "GAE-ISumm: Unsupervised Graph-Based Summarization of Indian Languages". arXiv e-prints: arXiv–2212.
- ^ Kusampudi, Siva Subrahamanyam Varma; Sathineni, Preetham; Mamidi, Radhika (2021). "Sentiment analysis in code-mixed telugu-english text with unsupervised data normalization". Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021): 753–760.
- ^ Gundapu, Sunil; Mamidi, Radhika (2020). "Multichannel LSTM-CNN for Telugu Text Classification". Proceedings of the 17th International Conference on Natural Language Processing (ICON): TechDOfication 2020 Shared Task: 11–15.
- ^ Sinha, Aman; Patekar, Parth; Mamidi, Radhika (2019-12-12). "Unsupervised Approach for Monitoring Satire on Social Media". Proceedings of the 11th Forum for Information Retrieval Evaluation. Kolkata India: ACM: 36–41. doi:10.1145/3368567.3368582. ISBN 978-1-4503-7750-8.
- ^ Bhatnagar, Nikhilesh; Shrivastava, Manish; Mamidi, Radhika (2018). "Exploring Chunk Based Templates for Generating a subset of English Text". Proceedings of ACL 2018, Student Research Workshop: 120–126.
- ^ Jwalapuram, Prathyusha; Mamidi, Radhika (2017). "Domain independent keyword identification for question answering". 2017 International Conference on Asian Language Processing (IALP). IEEE: 95–98.
- ^ Sandeep, Muku; Nurendra, C.; Radika, M. (2016). "Enhanced sentiment classification of Telugu text using ML techniques". 4th Workshop on Sentiment Analysis Where AI Meets Psychology, 25th International Joint Conference on Artificial Intelligence: 29.
- ^ Kuncham, Prathyusha; Nelakuditi, Kovida; Mamidi, Radhika (2015). "Statistical sandhi splitter and its effect on nlp applications". Proceedings of the International Conference Recent Advances in Natural Language Processing: 313–319.