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▼a 9781614999959
▼q (electronic bk.)
▼a 1614999953
▼q (electronic bk.)
▼z 9781614999942
▼a 2253899
▼b (N$T)
▼a (OCoLC)1120124334
▼a N$T
▼b eng
▼e rda
▼e pn
▼c N$T
▼d N$T
▼d 248023
▼a MAIN
▼a QA76.9.N38
▼a 006.35
▼2 23
▼a Hellrich, Johannes,
▼e author.
▼a Word embeddings:
▼b reliability & semantic change /:
▼c Johannes Hellrich.
▼h [electronic resource].
▼a Berlin:
▼b Akademische Verlagsgesellschaft AKA GmbH ;
▼a Amsterdam, the Netherlands:
▼b IOS Press,
▼c [2019].
▼a 1 online resource.
▼a text
▼b txt
▼2 rdacontent
▼a computer
▼b c
▼2 rdamedia
▼a online resource
▼b cr
▼2 rdacarrier
▼a Dissertations in artificial intelligence;
▼v DISKI 347
▼a Includes bibliographical references.
▼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.
▼a On-line resource; title from PDF title page (EBSCO, viewed September 23, 2019)
▼a Master record variable field(s) change: 050, 082, 650
▼a Natural language processing (Computer science)
▼a Artificial intelligence.
▼a Electronic books.
▼a Frontiers in artificial intelligence and applications.
▼p Dissertations in artificial intelligence;
▼v DISKI 347.
▼a NA000000
▼b 00000140
▼3 EBSCOhost
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2253899
▼a EBSCOhost
▼b EBSC
▼n 2253899
▼a 92
▼b N$T
| 자료유형 : | 단행본 |
|---|---|
| ISBN : | 9781614999959 |
| ISBN : | 1614999953 |
| ISBN : | |
| 개인저자 : | Hellrich, Johannes, author. |
| 서명/저자사항 : | Word embeddings: reliability & semantic change /: Johannes Hellrich. [electronic resource]. |
| 발행사항 : | Berlin: Akademische Verlagsgesellschaft AKA GmbH ; Amsterdam, the Netherlands: IOS Press, [2019]. |
| 형태사항 : | 1 online resource. |
| 총서사항 : | Dissertations in artificial intelligence; DISKI 347 |
| 서지주기 : | Includes bibliographical references. |
| 요약 : | 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. |
| 일반주제명 : | Natural language processing (Computer science) -- |
| 일반주제명 : | Artificial intelligence. -- |
| 언어 | 영어 |
| URL : |
|---|
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