NLP Highlights

33 - Entity Linking via Joint Encoding of Types, Descriptions, and Context, with Nitish Gupta


Listen Later

EMNLP 2017 paper by Nitish Gupta, Sameer Singh, and Dan Roth.
Nitish comes on to talk to us about his paper, which presents a new entity linking model that both unifies prior sources of information into a single neural model, and trains that model in a domain-agnostic way, so it can be transferred to new domains without much performance degradation.
https://www.semanticscholar.org/paper/Entity-Linking-via-Joint-Encoding-of-Types-Descrip-Gupta-Singh/a66b6a3ac0aa9af6c178c1d1a4a97fd14a882353
...more
View all episodesView all episodes
Download on the App Store

NLP HighlightsBy Allen Institute for Artificial Intelligence

  • 4.3
  • 4.3
  • 4.3
  • 4.3
  • 4.3

4.3

23 ratings


More shows like NLP Highlights

View all
Data Skeptic by Kyle Polich

Data Skeptic

480 Listeners

Up First from NPR by NPR

Up First from NPR

56,180 Listeners