Kundan Krishna

Member of Technical Staff

BigData Experience Lab, Bangalore

Kundan graduated from Indian Institute of Technology, Kanpur with a degree in computer science and engineering in 2016.

Kundan loves solving problems related to natural language processing. Recent advances in the field of deep learning have led to new possibilities in text generation. He is interested in controlling the semantics and style in text generation. He has been actively involved in the space of abstractive summary generation using neural networks. Besides, he has also worked in the space of ubiquitous computing on modelling human daily activity routines.

He is intrigued by the ability of neural networks to solve challenging tasks, and is eager to explore how can they be made more understandable and transparent.

He also sketches sometimes. You can see some samples at [http://kkrishna.in/art]

My Publications

Corpus-based Content Construction

Srinivasan, B., Maneriker, P., Krishna, K., Modani, N. (Aug. 20, 2018)
27th International Conference on Computational Linguistics

Vocabulary-tailored summary generation

Krishna, K., Murherkar, A., Sharma, S., Srinivasan, B. (Aug. 20, 2018)
27th International Conference on Computational Linguistics (COLING)

Generating topic-oriented summaries using neural attention

Krishna, K., Srinivasan, B. (Jun. 6, 2018)
16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)

An LSTM Based System for Prediction of Human Activities with Durations

Krishna, K., Jain, D., Mehta, S., Choudhary, S. (Dec. 31, 2017)
To be presented at ACM UbiComp 2018 Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies