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001000000314877
003OCoLC
00520230525165441
006m d
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008190920s2019 gw ob 000 0 eng d
020 ▼a 9781614999959 ▼q (electronic bk.)
020 ▼a 1614999953 ▼q (electronic bk.)
020 ▼z 9781614999942
035 ▼a 2253899 ▼b (N$T)
035 ▼a (OCoLC)1120124334
040 ▼a N$T ▼b eng ▼e rda ▼e pn ▼c N$T ▼d N$T ▼d 248032
049 ▼a MAIN
050 4 ▼a QA76.9.N38
08204 ▼a 006.35 ▼2 23
1001 ▼a Hellrich, Johannes, ▼e author.
24510 ▼a Word embeddings : ▼b reliability & semantic change / ▼c Johannes Hellrich. ▼h [electronic resource]
260 1 ▼a Berlin : ▼b Akademische Verlagsgesellschaft AKA GmbH ; ▼a Amsterdam, the Netherlands : ▼b IOS Press, ▼c [2019]
300 ▼a 1 online resource.
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a computer ▼b c ▼2 rdamedia
338 ▼a online resource ▼b cr ▼2 rdacarrier
4901 ▼a Dissertations in artificial intelligence ; ▼v DISKI 347
504 ▼a Includes bibliographical references.
520 ▼a Word embeddings are a form of distributional semantics increasingly popular for investigating lexical semantic change. However, typical training algorithms are probabilistic, limiting their reliability and the reproducibility of studies. Johannes Hellrich investigated this problem both empirically and theoretically and found some variants of SVD-based algorithms to be unaffected. Furthermore, he created the JeSemE website to make word embedding based diachronic research more accessible. It provides information on changes in word denotation and emotional connotation in five diachronic corpora. Finally, the author conducted two case studies on the applicability of these methods by investigating the historical understanding of electricity as well as words connected to Romanticism. They showed the high potential of distributional semantics for further applications in the digital humanities.
5880 ▼a On-line resource; title from PDF title page (EBSCO, viewed September 23, 2019)
590 ▼a Master record variable field(s) change: 050, 082, 650
650 0 ▼a Natural language processing (Computer science)
650 0 ▼a Artificial intelligence.
655 4 ▼a Electronic books.
830 0 ▼a Frontiers in artificial intelligence and applications. ▼p Dissertations in artificial intelligence ; ▼v DISKI 347.
85640 ▼3 EBSCOhost ▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2253899
938 ▼a EBSCOhost ▼b EBSC ▼n 2253899
990 ▼a 관리자
994 ▼a 92 ▼b N$T