Paul Barba is the Chief Scientist of Lexalytics, where he is focused on applying force multiplying technologies to solve artificial intelligence-related challenges and drive innovation in AI even further. Paul has years of experience developing, architecting, researching and generally thinking about AI/machine learning, text analytics and natural language processing (NLP) software. He has been working on growing system understanding while reducing human intervention and bringing text analytics to web scale.
Paul has expertise in diverse areas of NLP and machine learning, from sentiment analysis and machine summarization to genetic programming and bootstrapping algorithms. Paul is continuing to bring cutting edge research to solve everyday business problems, while working on new “big ideas” to push the whole field forward.
Paul earned a degree in Computer Science and Mathematics from UMass Amherst.
The opinions expressed in this blog are those of Paul Barba and do not necessarily represent those of IDG Communications, Inc., its parent, subsidiary or affiliated companies.
People will always think differently from AI, and our added perspectives can only enrich what AI has to offer
Machines have their work cut out for them when it comes to understanding not just language, but the point at which language becomes meaning.