Paraphrasensuche mittels word2vec und der Word Mover’s Distance im Altgriechischen. Pöckelmann, M., Ritter, J., Wöckener-Gade, E., & Schubert, C. Digital Classics Online, December, 2017. Paper doi abstract bibtex To find receptions of Plato‘s work within the ancient Greek literature, automatic methods would be a useful assistance. Unfortunately, such methods are often knowledge-based and thus restricted to extensively annotated texts, which are not available to a sufficient extent for ancient Greek. In this article, we describe an approach that is based on the distributional hypotheses instead, to overcome the problem of missing annotations. This approach uses word2vec and the related Word Mover‘s Distance to determine phrases with similar meaning. Despite its experimental state, the method produces some meaningful results as shown in three examples.
@article{pockelmann_paraphrasensuche_2017,
title = {Paraphrasensuche mittels word2vec und der {Word} {Mover}’s {Distance} im {Altgriechischen}},
copyright = {Copyright (c) 2017 Digital Classics Online},
issn = {2364-7957},
url = {https://journals.ub.uni-heidelberg.de/index.php/dco/article/view/40185},
doi = {10.11588/dco.2017.0.40185},
abstract = {To find receptions of Plato‘s work within the ancient Greek literature, automatic methods would be a useful assistance. Unfortunately, such methods are often knowledge-based and thus restricted to extensively annotated texts, which are not available to a sufficient extent for ancient Greek. In this article, we describe an approach that is based on the distributional hypotheses instead, to overcome the problem of missing annotations. This approach uses word2vec and the related Word Mover‘s Distance to determine phrases with similar meaning. Despite its experimental state, the method produces some meaningful results as shown in three examples.},
language = {de},
urldate = {2023-08-26},
journal = {Digital Classics Online},
author = {Pöckelmann, Marcus and Ritter, Jörg and Wöckener-Gade, Eva and Schubert, Charlotte},
month = dec,
year = {2017},
keywords = {Word Mover’s Distance},
pages = {24--36},
}
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