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README.md

NYTimes Corpus: Crowdsourcing Topical Relevance

DOI

This repository contains the crowdsourcing annotations for topical relevance referenced in the following paper:

If you find this data useful in your research, please consider citing:

@inproceedings{inel2018studying,
  title={Studying Topical Relevance with Evidence-based Crowdsourcing},
  author={Inel, Oana and Haralabopoulos, Giannis and Li, Dan and Van Gysel, Christophe and Szlávik, Zoltán and Simperl, Elena and Kanoulas, Evangelos and Aroyo, Lora},
  booktitle={To Appear in the Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM)},
  year={2018},
  organization={ACM}
}

Running the notebooks

To run and regenerate the results, you need to install the stable version of the crowdtruth==2.0 package from PyPI using:

pip install crowdtruth==2.0

Crowdsourcing Templates

The following crowdsourcing templates have been used in the aforementioned article. We use the same experiment notation as in the article. To check each crowdsourcing annotation template, click on the small template icon. The image will open in a new tab.

EXP. TYPE EXP. SETTING CROWDSOURCING ANNOTATION TEMPLATE (click to enlarge) CROWDSOURCING RELEVANCE ANNOTATION SCALE DOCUMENT GRANULARITY DOCUMENT PARAGRAPH ORDER TARGET ANNOTATION
Pilot 3P-Doc-NoHigh Fig.1: Pilot 3P-Doc-NoHigh. 3-point scale (Highly Relevant, Relevant, Not Relevant) Full Document N\A Relevance Value
Pilot 3P-Doc-High Fig.1: Pilot 3P-Doc-High. 3-point scale (Highly Relevant,Relevant, Not Relevant) Full Document N\A Relevance Value + Text Highlight
Pilot 2P-Doc-NoHigh Fig.1: Pilot 2P-Doc-NoHigh. 2-point scale (Relevant, Not Relevant) Full Document N\A Relevance Value
Pilot 2P-Doc-High Fig.1: Pilot 2P-Doc-High. 2-point scale (Relevant, Not Relevant) Full Document N\A Relevance Value + Text Highlight
Pilot 2P-OrdPar-NoHigh Fig.1: Pilot 2P-OrdPar-NoHigh. 2-point scale (Relevant, Not Relevant) Document Paragraphs Document Order Relevance Value
Pilot 2P-OrdPar-High Fig.1: Pilot 2P-OrdPar-High. 2-point scale (Relevant, Not Relevant) Document Paragraphs Document Order Relevance Value + Text Highlight
Pilot 2P-RndPar-NoHigh Fig.1: Pilot 2P-RndPar-NoHigh. 2-point scale (Relevant, Not Relevant) Document Paragraphs Random Order Relevance Value
Pilot 2P-RndPar-High Fig.1: Pilot 2P-RndPar-High. 2-point scale (Relevant, Not Relevant) Document Paragraphs Random Order Relevance Value + Text Highlight
Main 2P-RndPar-High Fig.1: Main 2P-RndPar-High. 2-point scale (Relevant, Not Relevant) Document Paragraphs Random Order Relevance Value + Text Highlight

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