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DTSTART;TZID=America/New_York:20180209T140000
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DTSTAMP:20260526T160404
CREATED:20180125T015204Z
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UID:1722-1518184800-1518192000@nycdh.org
SUMMARY:Word Embeddings: Can Vectors Encode Meaning?
DESCRIPTION:Word embeddings\, or vector representations of words\, are commonly used in computer science to work with and analyze text. They are particularly useful as a powerful off-the-shelf tool when using open-source word embeddings previously generated by Google\, Facebook\, or other technology companies based on web crawls. We present the background and justifications for using vectors to represent meaning\, how word embeddings are created\, and applications of word embeddings in the social sciences and humanities. We’ll also touch on algorithmic bias\, how this is presented in word embeddings\, and what practitioners should be aware of. \nLEVEL: Beginner\nNOTES: none
URL:https://nycdh.org/dhweek/event/word-embeddings-can-vectors-encode-meaning/
LOCATION:Columbia University\, CEPSR\, Room 620\, 530 West 120th Street\, New York\, NY\, 10027\, United States
CATEGORIES:Beginner,Text Analysis
ORGANIZER;CN="Katy Gero and Jeff Jacobs":MAILTO:katy@cs.columbia.edu
GEO:40.8098011;-73.9607325
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