Ever wonder how Watson beat all comers in Jeopardy or how Siri or Google Now work? Thinking about deploying question answering (QA) technology in your application? QA and NLP technology have finally hit the mainstream, and are making information access easier and more personalized every day. The best part? Open source technologies make it easier than ever to build and deploy question answering technology.
In this talk, we’ll lay the foundation of building a next generation QA system, using open source programs like Apache Lucene and various open source NLP libraries; and demonstrate a working system able to answer real natural language questions.
Grant Ingersoll is the CTO and co-founder of Lucidworks as well as an active member of the Lucene community. He is a Lucene and Solr committer, co-founder of the Apache Mahout machine learning project, and a longstanding member of the Apache Software Foundation. Grant’s prior experience includes work at the Center for Natural Language Processing at Syracuse University in natural language processing and information retrieval. Grant earned a B.S. from Amherst College in math and computer science and an M.S. in computer science from Syracuse University. Grant is also the co-author of Taming Text from Manning Publications.
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