Search Results for author: Sriram Venkatapathy

Found 8 papers, 0 papers with code

Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks

no code implementations EMNLP (insights) 2020 Ansel MacLaughlin, Jwala Dhamala, Anoop Kumar, Sriram Venkatapathy, Ragav Venkatesan, Rahul Gupta

Neural Architecture Search (NAS) methods, which automatically learn entire neural model or individual neural cell architectures, have recently achieved competitive or state-of-the-art (SOTA) performance on variety of natural language processing and computer vision tasks, including language modeling, natural language inference, and image classification.

Image Classification Language Modelling +3

Assisting Composition of Email Responses: a Topic Prediction Approach

no code implementations7 Oct 2015 Spandana Gella, Marc Dymetman, Jean Michel Renders, Sriram Venkatapathy

The experimental results on a large email collection from a contact center in the tele- com domain show that the proposed ap- proach is effective in predicting the best topic of the agent's next sentence.

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