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<meta itemprop="description" content="Here is a recording of my recent keynote talk on the power of Natural Language processing through Watson and my academic/PhD topic – Partridge – at York Doctoral Symposium. 0-11 minutes – history of mankind, invention and the acceleration of scientific progress (warming people to the idea that farming out your scientific reading to a computer is a much better idea than trying to read every paper written) 11-26 minutes – My personal academic work – scientific paper annotation and cognitive scientific research using NLP 26- 44 minutes – Watson – Jeopardy, MSK and Ecosystem 44 – 48 minutes Q&A on Watson and Partridge Please don’t cringe too much at my technical explanation of Watson – especially those of you who know much more about WEA and the original DeepQA setup than I do!"><meta itemprop="datePublished" content="2015-11-02T21:07:28+00:00" />
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<meta property="og:description" content="Here is a recording of my recent keynote talk on the power of Natural Language processing through Watson and my academic/PhD topic – Partridge – at York Doctoral Symposium. 0-11 minutes – history of mankind, invention and the acceleration of scientific progress (warming people to the idea that farming out your scientific reading to a computer is a much better idea than trying to read every paper written) 11-26 minutes – My personal academic work – scientific paper annotation and cognitive scientific research using NLP 26- 44 minutes – Watson – Jeopardy, MSK and Ecosystem 44 – 48 minutes Q&A on Watson and Partridge Please don’t cringe too much at my technical explanation of Watson – especially those of you who know much more about WEA and the original DeepQA setup than I do!" />
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<span class="day">02</span>
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<span class="rest">Nov 2015</span>
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<h1 class="title">Keynote at YDS 2015: Information Discovery, Partridge and Watson</h1>
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Here is a recording of my recent keynote talk on the power of Natural Language processing through Watson and my academic/PhD topic – Partridge – at York Doctoral Symposium.
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0-11 minutes – history of mankind, invention and the acceleration of scientific progress (warming people to the idea that farming out your scientific reading to a computer is a much better idea than trying to read every paper written)
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</li>
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<li dir="ltr">
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11-26 minutes – My personal academic work – scientific paper annotation and cognitive scientific research using NLP
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</li>
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<li dir="ltr">
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26- 44 minutes – Watson – Jeopardy, MSK and Ecosystem
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</li>
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<li dir="ltr">
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44 – 48 minutes Q&A on Watson and Partridge
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<p>Please don’t cringe too much at my technical explanation of Watson – especially those of you who know much more about WEA and the original DeepQA setup than I do! This was me after a few days of reading the original 2011 and 2012 papers and making copious notes!</p>
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<div dir="ltr">
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<div dir="ltr">
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(Equally please don’t cringe too much about my history of US Presidents @ 37:30- I got Roosevelt and Reagan mixed up in my head!)
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<p> </p>
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<div class="tags">
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<li><a href="/tags/extraction">extraction</a></li>
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<li><a href="/tags/ibm">ibm</a></li>
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<li><a href="/tags/information">information</a></li>
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<li><a href="/tags/papers">papers</a></li>
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<li><a href="/tags/partridge">partridge</a></li>
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<li><a href="/tags/retrieval">retrieval</a></li>
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<li><a href="/tags/scientific">scientific</a></li>
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<li><a href="/tags/watson">watson</a></li>
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<li><a href="/tags/yds">yds</a></li>
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