| A sentiwordnet strategy for curriculum learning in sentiment analysis VA Rao, K Anuranjana, R Mamidi Natural Language Processing and Information Systems: 25th International …, 2020 | 13 | 2020 |
| HindiRC: A Dataset for Reading Comprehension in Hindi K Anuranjana, VA Rao, R Mamidi | 8* | |
| Hindi question generation using dependency structures K Anuranjana, VA Rao, R Mamidi arXiv preprint arXiv:1906.08570, 2019 | 7 | 2019 |
| DiscoFlan: Instruction fine-tuning and refined text generation for discourse relation label classification K Anuranjana Proceedings of the 3rd Shared Task on Discourse Relation Parsing and …, 2023 | 5 | 2023 |
| Label distributions help implicit discourse relation classification F Yung, K Anuranjana, M Scholman, V Demberg Proceedings of the 3rd Workshop on Computational Approaches to Discourse, 48-53, 2022 | 4 | 2022 |
| Analyzing Curriculum Learning for Sentiment Analysis along Task Difficulty, Pacing and Visualization Axes AR Vijjini, K Anuranjana, R Mamidi arXiv preprint arXiv:2102.09990, 2021 | 2 | 2021 |
| Exploiting Knowledge about Discourse Relations for Implicit Discourse Relation Classification N Varghese, F Yung, K Anuranjana, V Demberg Proceedings of the 4th Workshop on Computational Approaches to Discourse …, 2023 | | 2023 |
| Towards building Question Answering Resources for Hindi K Anuranjana International Institute of Information Technology Hyderabad, 2021 | | 2021 |
| A SentiWordNet Strategy for Curriculum Learning in Sentiment Analysis V Anvesh Rao, K Anuranjana, R Mamidi arXiv e-prints, arXiv: 2005.04749, 2020 | | 2020 |
Radhika MamidiInternational Institute of Information Technology, Hyderabadiiit.ac.in의 이메일 확인됨
