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SUMMARY:Structured Queries For Unstructured Data. David Milward\, CTO Ling
 uamatics. - David Milward\, Linguamatics.
DTSTART:20160901T180000Z
DTEND:20160901T200000Z
UID:TALK67115@talks.cam.ac.uk
CONTACT:Dr Sobia Hamid
DESCRIPTION:How can we capture information from free text as conveniently 
 as accessing a database? One of the essential differences in free text is 
 the lack of normalisation of concepts and relationships. This talk will sh
 ow how the gap can be bridged using text mining based on Natural Language 
 Processing.  The approach will be illustrated by showing how patients can 
 be selected based on querying the free text in electronic health records e
 .g. cancer patients who are non-smokers over 65 years old. \n\nDavid Milwa
 rd is chief technology officer (CTO) at Linguamatics. He is a pioneer of i
 nteractive text mining\, and a founder of Linguamatics. He has over 20 yea
 rs experience of product development\, consultancy and research in natural
  language processing (NLP). After receiving a PhD from the University of C
 ambridge\, he was a researcher and lecturer at the University of Edinburgh
 . He has published in the areas of information extraction\, spoken dialogu
 e\, parsing\, syntax and semantics.\n\nRegistration is compulsory for this
  event.
LOCATION:For further details\, please register at www.meetup.com/Data-Insi
 ghts-Cambridge/
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