23 citations · 40 across the 2 of their papers we have counts for
2 papers
cs.CL2020★ 23 cited
HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing enabled Embedding of n-gram Statistics
Pedro Alonso, Kumar Shridhar, Denis Kleyko +2
Recent advances in Deep Learning have led to a significant performance increase on several NLP tasks, however, the models become more and more computationally demanding. Therefore,…
cs.CL2018★ 17 cited
Subword Semantic Hashing for Intent Classification on Small Datasets
Kumar Shridhar, Ayushman Dash, Amit Sahu +6
In this paper, we introduce the use of Semantic Hashing as embedding for the task of Intent Classification and achieve state-of-the-art performance on three frequently used benchma…