Word2Vec. (16th December 2016)

• Record Type: Journal Article
• Authors: CHURCH, KENNETH WARD
• Is Part Of: Natural language engineering. Volume 23:Part 1(2017)
• Page Start: 155
• Page End: 162
• Publication Date: 2016-12-16
• Subjects: Natural language processing (Computer science) -- Periodicals; Software engineering -- Periodicals; 006.35
• DOI: 10.1017/S1351324916000334
• Languages: English
• ISSNs: 1351-3249

Abstract

Abstract: My last column ended with some comments about Kuhn and word2vec. Word2vec has racked up plenty of citations because it satisifies both of Kuhn's conditions for emerging trends: (1) a few initial (promising, if not convincing) successes that motivate early adopters (students) to do more, as well as (2) leaving plenty of room for early adopters to contribute and benefit by doing so. The fact that Google has so much to say on 'How does word2vec work' makes it clear that the definitive answer to that question has yet to be written. It also helps citation counts to distribute code and data to make it that much easier for the next generation to take advantage of the opportunities (and cite your work in the process).