@inproceedings{kumar-etal-2022-bull,
title = "The Bull and the Bear: Summarizing Stock Market Discussions",
author = "Kumar, Ayush and
Jani, Dhyey and
Shah, Jay and
Thakar, Devanshu and
Jain, Varun and
Singh, Mayank",
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lrec-1.746",
pages = "6909--6913",
abstract = "Stock market investors debate and heavily discuss stock ideas, investing strategies, news and market movements on social media platforms. The discussions are significantly longer in length and require extensive domain expertise for understanding. In this paper, we curate such discussions and construct a first-of-its-kind of abstractive summarization dataset. Our curated dataset consists of 7888 Reddit posts and manually constructed summaries for 400 posts. We robustly evaluate the summaries and conduct experiments on SOTA summarization tools to showcase their limitations. We plan to make the dataset publicly available. The sample dataset is available here: \url{https://dhyeyjani.github.io/RSMC}",
}
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%0 Conference Proceedings
%T The Bull and the Bear: Summarizing Stock Market Discussions
%A Kumar, Ayush
%A Jani, Dhyey
%A Shah, Jay
%A Thakar, Devanshu
%A Jain, Varun
%A Singh, Mayank
%Y Calzolari, Nicoletta
%Y Béchet, Frédéric
%Y Blache, Philippe
%Y Choukri, Khalid
%Y Cieri, Christopher
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Isahara, Hitoshi
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Hélène
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Thirteenth Language Resources and Evaluation Conference
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F kumar-etal-2022-bull
%X Stock market investors debate and heavily discuss stock ideas, investing strategies, news and market movements on social media platforms. The discussions are significantly longer in length and require extensive domain expertise for understanding. In this paper, we curate such discussions and construct a first-of-its-kind of abstractive summarization dataset. Our curated dataset consists of 7888 Reddit posts and manually constructed summaries for 400 posts. We robustly evaluate the summaries and conduct experiments on SOTA summarization tools to showcase their limitations. We plan to make the dataset publicly available. The sample dataset is available here: https://dhyeyjani.github.io/RSMC
%U https://aclanthology.org/2022.lrec-1.746
%P 6909-6913
Markdown (Informal)
[The Bull and the Bear: Summarizing Stock Market Discussions](https://aclanthology.org/2022.lrec-1.746) (Kumar et al., LREC 2022)
ACL
- Ayush Kumar, Dhyey Jani, Jay Shah, Devanshu Thakar, Varun Jain, and Mayank Singh. 2022. The Bull and the Bear: Summarizing Stock Market Discussions. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 6909–6913, Marseille, France. European Language Resources Association.