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Webis-Mnemonics-17
- data.niaid.nih.gov
- live.european-language-grid.eu
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Updated Jan 24, 2020
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EmailClick to copy linkLink copiedCiteKiesel, Johannes (2020). Webis-Mnemonics-17 [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3254442Dataset updatedJan 24, 2020Dataset provided byStein, Benno
Lucks, Stefan
Kiesel, JohannesLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe Webis-Mnemonics-17 corpus is a collection of 1048 human-chosen sentences for password generation and memorization (so-called mnemonics). It is designed to test hypotheses on statistical properties of such mnemonics.
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Webis-Mnemonics-17
- explore.openaire.eu
Updated Mar 1, 2017ShareFacebookTwitterEmailClick to copy linkLink copiedCiteJohannes Kiesel; Benno Stein; Stefan Lucks (2017). Webis-Mnemonics-17 [Dataset]. http://doi.org/10.5281/zenodo.3254442Unique identifierhttps://doi.org/10.5281/zenodo.3254442Dataset updatedMar 1, 2017AuthorsJohannes Kiesel; Benno Stein; Stefan LucksDescription{"references": ["Johannes Kiesel, Benno Stein, and Stefan Lucks. A Large-scale Analysis of the Mnemonic Password Advice. In 24th Annual Network and Distributed System Security Symposium (NDSS 2017), February 2017. Association for Computational Linguistics"]} The Webis-Mnemonics-17 corpus is a collection of 1048 human-chosen sentences for password generation and memorization (so-called mnemonics). It is designed to test hypotheses on statistical properties of such mnemonics.
Webis-Simple-Sentences-17 Corpus
- zenodo.org
- live.european-language-grid.eu
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application/gzipUpdated Jan 24, 2020ShareFacebookTwitterEmailClick to copy linkLink copiedCiteJohannes Kiesel; Johannes Kiesel; Benno Stein; Benno Stein; Stefan Lucks; Stefan Lucks (2020). Webis-Simple-Sentences-17 Corpus [Dataset]. http://doi.org/10.5281/zenodo.205950application/gzipAvailable download formatsUnique identifierhttps://doi.org/10.5281/zenodo.205950Dataset updatedJan 24, 2020AuthorsJohannes Kiesel; Johannes Kiesel; Benno Stein; Benno Stein; Stefan Lucks; Stefan LucksLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionA corpus of 471,085,690 English sentences extracted from the ClueWeb12 Web Crawl. The sentences were sampled from a larger corpus to achieve a level of sentence complexity similar to the one of sentences that humans make up as a memory aid for remembering passwords. Sentence complexity was determined by syllables per word.
The corpus is split in training and test set as it is used in the associated publication. The test set is extracted from part 00 of the ClueWeb12, while the training set is extracted from the other parts.
More information on the corpus can be found on the corpus web page at our university (listed under documented by).
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FacebookTwitterEmailLucks, Stefan
Kiesel, Johannes
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Webis-Mnemonics-17 corpus is a collection of 1048 human-chosen sentences for password generation and memorization (so-called mnemonics). It is designed to test hypotheses on statistical properties of such mnemonics.