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Automatic Entity Recognition and Typing from Massive Text Corpora
2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15
In today's computerized and information-based society, we are soaked with vast amounts of text data, ranging from news articles, scientific publications, product reviews, to a wide range of textual information from social media. To unlock the value of these unstructured text data from various domains, it is of great importance to gain an understanding of entities and their relationships. In this tutorial, we introduce data-driven methods to recognize typed entities of interest in massive,
doi:10.1145/2783258.2789988
pmid:26705508
pmcid:PMC4688010
dblp:conf/kdd/RenEWH15
fatcat:2z3gzinvrbawpkgziwpsxcl6p4