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Is NLP relation extraction a hard topic?

Posted on 2015/08/232016/09/10 by mendicott

Is NLP relation extraction a hard topic?

At the Masters level you should not be looking for something easy; instead, you should be looking for something manageable.  You should be looking for something useful, and something interesting.  There are Masters theses that are on par with PhD theses.

Automatic summarization is by far the most cutting edge, and potentially useful. Relationship extraction may, or may not, be required for summarization.  Word-sense disambiguation is at least thorny, if not a quagmire.

For details, see my quick and dirty webpages:

  • 100 Best GitHub: Relation Extraction | Meta-Guide.com
  • Relation Extraction & Dialog Systems | Meta-Guide.com
  • Relation Extraction 2014 | Meta-Guide.com
  • Meta CTO Andrew Bosworth’s Military Commission Signals Deepening Merger of Silicon Valley and U.S.
  • Meta Mirrors Twitter’s Ideological Decline Through a More Covert and Enduring Transformation
  • Yann LeCun’s Vision and Meta’s Diverging Paths on Artificial Intelligence
  • Meta’s AI Bots Quietly Introduce Automated Moderation Tools into Facebook Groups
  • Meta’s Lockout of Marcus Endicott Exposes Strategic Blindness in the West’s AI Race

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