diff --git a/docs/source/deli.rst b/docs/source/deli.rst index c582452b..f9617d89 100644 --- a/docs/source/deli.rst +++ b/docs/source/deli.rst @@ -7,6 +7,8 @@ The corpus is available upon request from the authors, and a ConvoKit-compatible For a full description of the dataset collection and potential applications, please refer to the original publication: `Karadzhov, G., Stafford, T., & Vlachos, A. (2023). DeliData: A dataset for deliberation in multi-party problem solving. Proceedings of the ACM on Human-Computer Interaction, 7(CSCW2), 1-25.` +Please cite this paper when using DeliData corpus in your research. + Dataset details --------------- diff --git a/docs/source/fomc.rst b/docs/source/fomc.rst index 9bc11f5d..544b8fbb 100644 --- a/docs/source/fomc.rst +++ b/docs/source/fomc.rst @@ -6,7 +6,7 @@ Transcripts of recurring meetings of the Federal Reserve’s Open Market Committ Distributed together with: `Talk it up or play it down? (Un)expected correlations between (de-)emphasis and recurrence of discussion points in consequential U.S. economic policy meetings `_. Chenhao Tan and Lillian Lee. Presented in Text As Data 2016. -Please cite this paper when using this corpus in your research. +Please cite this paper when using FOMC corpus in your research. Dataset details --------------- diff --git a/docs/source/fora.rst b/docs/source/fora.rst index 7c7250ab..9e45ec79 100644 --- a/docs/source/fora.rst +++ b/docs/source/fora.rst @@ -3,7 +3,8 @@ Fora Corpus Fora corpus is a dataset of 262 annotated transcripts of multi-person facilitated dialogues regarding issues like education, elections, and public health, primarily through the sharing of personal experience. The corpus is available by request from the authors (`https://github.com/schropes/fora-corpus `_) and ConvoKit contains code for converting the transcripts into ConvoKit format, as detailed below. A full description of the dataset can be found here: `Schroeder, H., Roy, D., & Kabbara, J. (2024). Fora: A corpus and framework for the study of facilitated dialogue. In L.-W. Ku, A. Martins, & V. Srikumar (Eds.), Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 13985–14001). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.acl-long.754. `_ -Please cite this paper when using Fora in your research. + +Please cite this paper when using Fora corpus in your research. Usage ----- diff --git a/docs/source/npr-2p.rst b/docs/source/npr-2p.rst index d7ac4838..acc39403 100644 --- a/docs/source/npr-2p.rst +++ b/docs/source/npr-2p.rst @@ -7,7 +7,7 @@ This is a Convokit-formatted version of the dataset originally distributed with Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, and Julian McAuley. 2020. `Interview: Large-Scale Modeling of Media Dialog with Discourse Patterns and Knowledge Grounding. `_ In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 8129–41. -Please cite this paper when using this corpus in your research. +Please cite this paper when using NPR-2P corpus in your research. Dataset Details ---------------