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On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages
While recurrent models have been effective in NLP tasks, their performan...
11/08/2020 ∙ by Satwik Bhattamishra, et al. ∙
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On the Ability of Self-Attention Networks to Recognize Counter Languages
Transformers have supplanted recurrent models in a large number of NLP t...
09/23/2020 ∙ by Satwik Bhattamishra, et al. ∙
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On the Computational Power of Transformers and Its Implications in Sequence Modeling
Transformers are being used extensively across several sequence modeling...
06/16/2020 ∙ by Satwik Bhattamishra, et al. ∙
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Unsung Challenges of Building and Deploying Language Technologies for Low Resource Language Communities
In this paper, we examine and analyze the challenges associated with dev...
12/07/2019 ∙ by Pratik Joshi, et al. ∙
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