Papers by Sahil Shah

1 papers
NLP Service APIs and Models for Efficient Registration of New Clients (2020.findings-emnlp)

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Challenge: State-of-the-art NLP inference uses enormous neural architectures and models trained for GPU-months, well beyond the reach of most consumers of NLP.
Approach: They propose a centralized NLP service that can be customized to suit clients . they propose NER, sentiment labeling, and predictive language modeling to improve client experience.
Outcome: The proposed model can be used to improve word usage and salience across clients without re-training or fine-tuning.

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