IBM Fellow & CTO Translation Technologies, IBM Research

IBM Research addressing Enterprise NLP challenges in 2020

The field of Natural Language Processing (NLP) has made large strides over the last decade. In fact, NLP is so common in today’s AI applications that whether consumers are communicating with a virtual assistant, asking for travel directions or searching for weather predictions, chances are they’re interacting with some form of NLP. This technology, however, […]

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Mastering Language Is Key to More Natural Human–AI Interaction

IBM Research AI is leading the push to develop new tools that enable AI to process and understand natural language. Our goal: empower enterprises to deploy and scale sophisticated AI systems that leverage natural language processing (NLP) with greater accuracy and efficiency, while requiring less data and human supervision.

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Question Answering for Enterprise Use Cases

IBM Research AI is introducing a new leaderboard called TechQA to foster research on enterprise question answering (QA).

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Advancing Natural Language Processing for Enterprise Domains

IBM Fellow Salim Roukos provides some specifics on IBM Research’s enterprise NLP work by highlighting four papers IBM Research AI is presenting at the ACL 2019 conference.

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