  An Entity Linking system aligns the textual mentions of entities in a text to
their corresponding entries in a knowledge base. However, deploying a neural
entity linking system for efficient real-time inference in production
environments is a challenging task. In this work, we present a neural entity
linking system that connects the product and organization type entities in
business conversations to their corresponding Wikipedia and Wikidata entries.
The proposed system leverages Elasticsearch to ensure inference efficiency when
deployed in a resource limited cloud machine, and obtains significant
improvements in terms of inference speed and memory consumption while retaining
high accuracy.
