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Niranjan Balasubramanian
Assistant Professor
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Niranjan Balasubramanian's research is motivated by the challenge of building systems that can extract, understand, and reason with information present in natural language texts. His research interests are in two broad areas: NLP and information retrieval. He has worked on different projects in areas like Question Answering at a 4th Grade Level, Event Schema Generation from news stories, Machine Learning for Information Retrieval, Energy-efficient Mobile Search, and Automatic Wikipedia Pages.
Papers63 papers
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national conference on artificial intelligence, (2020)
COLING, pp.604-615, (2020)
Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, pp.141-148, (2020)
empirical methods in natural language processing, pp.8846-8863, (2020)
Heeyoung Kwon, Mahnaz Koupaee, Pratyush Singh, Gargi Sawhney, Anmol Shukla, Keerthi Kumar Kallur,Nathanael Chambers,Niranjan Balasubramanian
EMNLP, pp.3818-3828, (2020)
CVPR, pp.13103-13112, (2020)
ACL, pp.4687-4692, (2020)
ACL, pp.5306-5316, (2020)
CoNLL, pp.520-530, (2020)
EMNLP/IJCNLP (1), pp.780-790, (2019)
Cited by3EIBibtex
computational social science, (2019)
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north american chapter of the association for computational linguistics, (2019)
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Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Service..., pp.27-40, (2019)
arXiv: Computation and Language, (2019)
Jun Seok Kang, Robert L. Logan IV, Zewei Chu,Yang Chen, Dheeru Dua,Kevin Gimpel,Sameer Singh,Niranjan Balasubramanian
arXiv: Computation and Language, (2019)
EMNLP, (2018): 3783-3792
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