Word embeddings : reliability & semantic change / Johannes Hellrich, Jena University Language & Information Engineering Lab (JULIE Lab), Friedrich Schiller University Jena, Germany

By:

Hellrich, Johannes [author.]

Material type: Text

TextSeries: Frontiers in artificial intelligence and applications. Dissertations in artificial intelligence ; ; DISKI 347.Publisher: Berlin : Akademische Verlagsgesellschaft AKA GmbH ; Amsterdam, the Netherlands : IOS Press, [2019]Copyright date: ©2019Description: 1 online resource (xviii, 168 pages)Content type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9781614999959
1614999953

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Print version:: WORD EMBEDDINGS.DDC classification:

006.35 23

LOC classification:

QA76.9.N38

Online resources:

Click here to access online

Contents:

Introduction -- Word distribution and meaning -- Diachronic corpora -- Reliability of word embeddings -- Observing lexical semantic change -- Conclusion

Summary: 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

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Item type	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Electronic-Books	OPJGU Sonepat- Campus	E-Books EBSCO			Available

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

Includes bibliographical references

Introduction -- Word distribution and meaning -- Diachronic corpora -- Reliability of word embeddings -- Observing lexical semantic change -- Conclusion

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