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2020 COPPUL Scholarly Communications SkillShare - April 30, 2020
Author: Moore, Alison J., Author: Zerkee, Jennifer
Date created: 2020-04-30
This presentation was given at the 2017 ABC Copyright Conference at Queen's University, Kingston, ON.
Author: Zerkee, Jennifer
Date created: 2017-06
This poster was presented at the 2017 Kraemer Copyright Conference at the University of Colorado - Colorado Springs.
Author: Zerkee, Jennifer
Date created: 2017-05
Author: Zerkee, Jennifer, Author: Moore, Alison J., Author: Shuttleworth, Kate, Author: Dowson, Rebecca, Author: Bird, Gwen
Date created: 2021-12-09
Ontario Library Association Super Conference, February 1-5, 2022.
Author: Savage, Stephanie, Author: Zerkee, Jennifer
Date created: 2022-02
Creative Commons Global Summit, September 20-24, 2021.
Author: Savage, Stephanie, Author: Zerkee, Jennifer
Date created: 2021-09
ABC Copyright Conference Fall Speakers' Series, December 2, 2020.
Author: Savage, Stephanie, Author: Zerkee, Jennifer
Date created: 2020-12
ABC Copyright Conference, May 30, 2019.
Author: Zerkee, Jennifer, Author: Savage, Stephanie
Date created: 2019-05
The data for this project is a subset of comments from the SFU Opinion and Comments Corpus (SOCC). This subset, the Constructive Comments Corpus (C3) consists of 12, 000 comments annotated by crowdworkers for constructiveness and its characteristics. Citation: Kolhatkar, V., N. Thain, J. Sorensen, L. Dixon and M. Taboada (2020) C3: The Constructive Comments Corpus. Jigsaw and Simon Fraser University. [Data] License: Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
For more information about this work, please see: Kolhatkar, V., N. Thain, J. Sorensen, L. Dixon and M. Taboada (to appear) Classifying Constructive Comments. Journal article under review. http://www.sfu.ca/discourse-lab/.
Other related materials: Kolhatkar, V., H. Wu, L. Cavasso, E. Francis, K. Shukla and M. Taboada The SFU Opinion and Comments Corpus: A corpus for the analysis of online news comments. Corpus Pragmatics. https://doi.org/10.1007/s41701-019-00065-w
To access this data, please contact mtaboada@sfu.ca.
For more information about this work, please see: Kolhatkar, V., N. Thain, J. Sorensen, L. Dixon and M. Taboada (to appear) Classifying Constructive Comments. Journal article under review. http://www.sfu.ca/discourse-lab/.
Other related materials: Kolhatkar, V., H. Wu, L. Cavasso, E. Francis, K. Shukla and M. Taboada The SFU Opinion and Comments Corpus: A corpus for the analysis of online news comments. Corpus Pragmatics. https://doi.org/10.1007/s41701-019-00065-w
To access this data, please contact mtaboada@sfu.ca.
Author: Kolhatkar, Varada, Author: Thain, Nithum, Author: Sorensen, Jeffrey, Author: Dixon, Lucas, Author: Taboada, Maite
Date created: 2020-04-01
The SFU Opinion and Comments Corpus (SOCC) is a corpus for the analysis of online news comments. Our corpus contains comments and the articles from which the comments originated. The articles are all opinion articles, not hard news articles. The corpus is larger than any other currently available comments corpora, and has been collected with attention to preserving reply structures and other metadata. In addition to the raw corpus, we also present annotations for four different phenomena: constructiveness, toxicity, negation and its scope, and appraisal. The data is divided into two main parts: raw data and annotated data. The raw data contains three CSVs: gnm_artcles.csv, gnm_comments.csv, and gnm_comment_threads.csv. The annotated data contains annotations for constructiveness, negation, and appraisal. The details of our different corpora and how to use them are on the following GitHub page. https://github.com/sfu-discourse-lab/SOCC/blob/master/README.md. To access this data, please contact mtaboada@sfu.ca.
Author: Kolhatkar, Varada, Author: Wu, Hanhan, Author: Cavasso, Luca, Author: Francis, Emilie, Author: Shukla, Kavan, Author: Taboada, Maite, Author: Saleem, Mehvish
Date created: 2018-01-18