182 lines
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<meta http-equiv="X-UA-Compatible" content="IE=edge"><title>Keynote at YDS 2015: Information Discovery, Partridge and Watson - Brainsteam</title><meta name="viewport" content="width=device-width, initial-scale=1">
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<meta itemprop="name" content="Keynote at YDS 2015: Information Discovery, Partridge and Watson">
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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 itemprop="keywords" content="extraction,ibm,information,papers,partridge,retrieval,scientific,watson,yds," /><meta property="og:title" content="Keynote at YDS 2015: Information Discovery, Partridge and Watson" />
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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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<meta name="twitter: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="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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</div>
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<span class="embed-youtube" style="text-align:center; display: block;"><iframe class='youtube-player' width='660' height='372' src='https://www.youtube.com/embed/L4g4F9UDK64?version=3&rel=1&showsearch=0&showinfo=1&iv_load_policy=1&fs=1&hl=en-US&autohide=2&wmode=transparent' allowfullscreen='true' style='border:0;' sandbox='allow-scripts allow-same-origin allow-popups allow-presentation'></iframe></span>
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<li dir="ltr">
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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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</li>
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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>
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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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<p> </p>
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</div>
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<div class="tags">
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<ul class="flat">
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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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