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ZENODO
Dataset . 2013
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2013
License: CC BY
Data sources: Datacite
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Webis Crowd Paraphrase Corpus 2011 (Webis-CPC-11)

Authors: Burrows, Steven; Potthast, Martin; Stein, Benno; Eiselt, Andreas;

Webis Crowd Paraphrase Corpus 2011 (Webis-CPC-11)

Abstract

The Webis Crowd Paraphrase Corpus 2011 (Webis-CPC-11) contains 7,859 candidate paraphrases obtained from Mechanical Turk crowdsourcing. The corpus is made up of 4,067 accepted paraphrases, 3,792 rejected non-paraphrases, and the original texts. These samples have formed part of PAN 2010 international plagiarism detection competition, but were not previously available separate to rest of the competition data. We provide the dataset as a single folder in a Zip archive. Each paraphrase is represented by three files, containing the original text (e.g.: "1-original.txt"), the paraphrase text (e.g.: "1-paraphrase.txt"), and a file containing metadata (e.g.: "1-metadata.txt"), with information about the task identifier, task author identifier, time taken, and whether the paraphrase was accepted or rejected.

{"references": ["teven Burrows, Martin Potthast, and Benno Stein. Paraphrase Acquisition via Crowdsourcing and Machine Learning. Transactions on Intelligent Systems and Technology (ACM TIST), 4 (3) : 43:1-43:21, June 2013"]}

Keywords

crowd paraphrase corpus, paraphrases, crowdsourcing

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    Average
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    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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visibility
download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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1
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431