The Conference for Machine Learning Innovation

Natural language processing for medical data

Session
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Join the ML Revolution!
Register until April15:
✓Save up to 310 €
✓ 2-in-1 conference special
✓10 % Team Discount
Register Now
Join the ML Revolution!
Register until December 12:
✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
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Join the ML Revolution!
Register until December 12:
✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now

Natural language is highly ambiguous and the sense of a word heavily depends on the context it appears in. While slight uncertainties are acceptable for the texts you read on a daily basis, they can lead to fatalities in medical contexts. This talks gives an introduction to the underlying problem, word sense ambiguity, and the technical approach aiming to resolve it – entity linking. We highlight the crucial challenges that we need to overcome when dealing with German data in practical examples and show how we integrate those solutions in our product: damedic code.

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