<?xml version="1.0" encoding="utf-8" standalone="yes" ?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>natural language processing on DASYA</title>
    <link>https://dasya.itu.dk/tags/natural-language-processing/</link>
    <description>Recent content in natural language processing on DASYA</description>
    <generator>Hugo -- gohugo.io</generator>
    <language>en-us</language>
    <copyright>© DASYA, IT University of Copenhagen</copyright>
    <lastBuildDate>Thu, 22 Apr 2021 00:00:00 +0000</lastBuildDate>
    
	<atom:link href="https://dasya.itu.dk/tags/natural-language-processing/index.xml" rel="self" type="application/rss+xml" />
    
    
    <item>
      <title>Parallels of medical imaging and natural language processing</title>
      <link>https://dasya.itu.dk/for-students/proposals/archive/vc-med-nlp/</link>
      <pubDate>Thu, 22 Apr 2021 00:00:00 +0000</pubDate>
      
      <guid>https://dasya.itu.dk/for-students/proposals/archive/vc-med-nlp/</guid>
      <description>Machine learning is used extensively in different applications, including medical imaging and natural language processing. As different types of data are involved, it is reasonable to assume that different methods are needed for each application. However, there are also opportunities in translating a method successful in one application, to the other application where it is not widely used.
The goal of this project is to examine trends in recent conference papers for both fields, and identify relevant similarities/differences between the approaches used.</description>
    </item>
    
  </channel>
</rss>