62 lines
2.2 KiB
Markdown
62 lines
2.2 KiB
Markdown
---
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author: James
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date: 2015-11-02 21:07:28+00:00
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post_meta:
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- date
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preview: /social/91e11b726881c285989e44ff7ef761250382e291b1f657a5b5505540ee7a89b6.png
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tags:
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- work
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- information extraction
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- partridge
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- sapienta
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- phd
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- watson
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title: 'Keynote at YDS 2015: Information Discovery, Partridge and Watson'
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type: posts
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url: /2015/11/02/keynote-at-yds-2015-information-discovery-partridge-and-watson/
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---
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<div dir="ltr">
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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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<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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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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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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26- 44 minutes – Watson – Jeopardy, MSK and Ecosystem
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</li>
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44 – 48 minutes Q&A on Watson and Partridge
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</li>
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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!
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</div>
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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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