What is "next" for question answering technologies?īigger, better, faster, for the most part. You're going to talk about building a next-generation QA system. Developers will likely get the most out of the session, but both talks aim to show and discuss what concepts are behind the technology and where they fit in the stack. What kind of attendees will be most excited by what they'll take away from your talk?īoth of my talks ("You've got Questions" and "Solr for Data Science") are geared towards technical people without prior experience in QA or Apache Solr. OSCON attracts a diverse mix of people working with open source technologies. I think right now a lot of the effort is going into how to we make these systems more accurate and more capable of answering a wider variety of questions. We probably take it for granted already and it's only been a few short years, but when the likes of Siri and Google Now came out with their ability to give you answers right over your phone, I was pretty blown away because it combines and makes elegant (for the most part) so many things that need to happen in order to have a good user experience in a question answering system. What are a couple examples of particularly innovative uses of question answering technologies right now? Are there projects that make you think 'I wish I'd thought of that first'? If you're interested in how Watson beat all of the Jeopardy contestants against him, read more in this interview about question answering (QA) technologies. (He co-founded Apache Mahout in 2008 with the goal to build an environment for quickly creating scalable machine learning applications.) This year, Grant will be speaking at OSCON 2015 about building a next generation QA system with open source tools and about how to use Apache Solr for data science. Grant Ingersoll is CTO at Lucidworks, provider of Fusion, but his claim to the open source community are his contributions to Apache Lucene, Solr, and Mahout.
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