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arXiv · 1908.06121

CFO: A Framework for Building Production NLP Systems

Rishav Chakravarti·Cezar Pendus·Andrzej Sakrajda·Anthony Ferritto·Lin Pan·Michael Glass·Vittorio Castelli·J. William Murdock·Radu Florian·Salim Roukos·Avirup Sil
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Abstract

This paper introduces a novel orchestration framework, called CFO (COMPUTATION FLOW ORCHESTRATOR), for building, experimenting with, and deploying interactive NLP (Natural Language Processing) and IR (Information Retrieval) systems to production environments. We then demonstrate a question answering system built using this framework which incorporates state-of-the-art BERT based MRC (Machine Reading Comprehension) with IR components to enable end-to-end answer retrieval. Results from the demo system are shown to be high quality in both academic and industry domain specific settings. Finally, we discuss best practices when (pre-)training BERT based MRC models for production systems.

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Rishav Chakravarti, Cezar Pendus, Andrzej Sakrajda, Anthony Ferritto, Lin Pan, Michael Glass, Vittorio Castelli, J. William Murdock, Radu Florian, Salim Roukos, Avirup Sil. 2019-08-16. CFO: A Framework for Building Production NLP Systems. https://doi.org/10.18653/v1/d19-3006

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