cite paper note in docs

CornellNLP · Nov 20, 2024 · 21a75c7 · 21a75c7
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diff --git 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
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diff --git 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 <https://chenhaot.com/papers/de-emphasis-fomc.html>`_. 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
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diff --git 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 <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. <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
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diff --git 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. <https://www.aclweb.org/anthology/2020.emnlp-main.653>`_ 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
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