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Automatic Entity Recognition and Typing in Massive Text Corpora
2016
Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion
In today's computerized and information-based society, we are soaked with vast amounts of natural language text data, ranging from news articles, product reviews, advertisements, to a wide range of user-generated content from social media. To turn such massive unstructured text data into actionable knowledge, one of the grand challenges is to gain an understanding of entities and the relationships between them. In this tutorial, we introduce data-driven methods to recognize typed entities of
doi:10.1145/2872518.2891065
dblp:conf/www/RenEWH16
fatcat:nhwxdfwwpbdgpm2mhuitgnmtkm