Vijjini Anvesh Rao

Sequential Domain Adaptation through Elastic Weight Consolidation for Sentiment Analysis

Jul 04, 2020
Avinash Madasu, Vijjini Anvesh Rao

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* Accepted at 25th International Conference on Pattern Recognition, January 2021, Milan, Italy

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A SentiWordNet Strategy for Curriculum Learning in Sentiment Analysis

May 10, 2020
Vijjini Anvesh Rao, Kaveri Anuranjana, Radhika Mamidi

* Accepted Short Paper at 25th International Conference on Applications of Natural Language to Information Systems, June 2020, DFKI Saarbr\"ucken, Germany

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A Position Aware Decay Weighted Network for Aspect based Sentiment Analysis

May 03, 2020
Avinash Madasu, Vijjini Anvesh Rao

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* Accepted Full Paper at 25th International Conference on Applications of Natural Language to Information Systems, June 2020, DFKI Saarbr\"ucken, Germany

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Sequential Learning of Convolutional Features for Effective Text Classification

Sep 12, 2019
Avinash Madasu, Vijjini Anvesh Rao

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* Accepted Long Paper at EMNLP-IJCNLP 2019, Hong Kong, China

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Hindi Question Generation Using Dependency Structures

Jun 20, 2019
Kaveri Anuranjana, Vijjini Anvesh Rao, Radhika Mamidi

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Gated Convolutional Neural Networks for Domain Adaptation

May 16, 2019
Avinash Madasu, Vijjini Anvesh Rao

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* Accepted Long Paper at 24th International Conference on Applications of Natural Language to Information Systems, June 2019, MediaCityUK Campus, United Kingdom

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Effectiveness of Self Normalizing Neural Networks for Text Classification

May 03, 2019
Avinash Madasu, Vijjini Anvesh Rao

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* Accepted Long Paper at 20th International Conference on Computational Linguistics and Intelligent Text Processing, April 2019, La Rochelle, France

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Towards Enhancing Lexical Resource and Using Sense-annotations of OntoSenseNet for Sentiment Analysis

Jul 25, 2018
Sreekavitha Parupalli, Vijjini Anvesh Rao, Radhika Mamidi

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* Accepted at 3rd Workshop on Semantic Deep Learning (SemDeep-3) at The 27th International Conference on Computational Linguistics, COLING (August 2018) in Santa Fe, New Mexico, USA

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BCSAT : A Benchmark Corpus for Sentiment Analysis in Telugu Using Word-level Annotations

Jul 04, 2018
Sreekavitha Parupalli, Vijjini Anvesh Rao, Radhika Mamidi

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* Accepted as Long Paper at Student Research Workshop in 56th Annual Meeting of the Association for Computational Linguistics, ACL-2018

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