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@@ -1804,7 +1804,7 @@ license:
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  - apache-2.0
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  multilinguality:
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  - monolingual
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- pretty_name: EDGAR 10K Filings
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  size_categories:
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  - 100K<n<1M
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  source_datasets:
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  - filings
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  - 10K
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  - 10-K
 
 
 
 
 
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  task_categories:
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  - other
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  task_ids: []
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  ---
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  # Dataset Card for [edgar_corpus]
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  ## Table of Contents
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  ### Shoutout
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  Huge shoutout to [@JanosAudran](https://huggingface.co/JanosAudran) for the HF Card setup!
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  ### References
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  - [Research Paper] Lefteris Loukas, Manos Fergadiotis, Ion Androutsopoulos, and, Prodromos Malakasiotis. EDGAR-CORPUS: Billions of Tokens Make The World Go Round. Third Workshop on Economics and Natural Language Processing (ECONLP). https://arxiv.org/abs/2109.14394 - Punta Cana, Dominican Republic, November 2021.
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  - [Software] Lefteris Loukas, Manos Fergadiotis, Ion Androutsopoulos, and, Prodromos Malakasiotis. EDGAR-CRAWLER. https://github.com/nlpaueb/edgar-crawler (2021)
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- - [EDGAR-CORPUS, but in zip files] EDGAR-CORPUS: A corpus for financial NLP research, built from SEC's EDGAR - https://zenodo.org/record/5528490 (2021)
 
 
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- ‌- [Word Embeddings] EDGAR-W2V: Word2vec Embeddings trained on EDGAR-CORPUS - https://zenodo.org/record/5524358 (2021)
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- - [Applied Research paper where EDGAR-CORPUS is used] Lefteris Loukas, Manos Fergadiotis, Ilias Chalkidis, Eirini Spyropoulou, Prodromos Malakasiotis, Ion Androutsopoulos, and, George Paliouras. FiNER: Financial Numeric Entity Recognition for XBRL Tagging. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). https://doi.org/10.18653/v1/2022.acl-long.303 (2022)
 
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  - apache-2.0
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  multilinguality:
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  - monolingual
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+ pretty_name: EDGAR-CORPUS (10-K Filings from 1999 to 2020)
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  size_categories:
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  - 100K<n<1M
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  source_datasets:
 
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  - filings
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  - 10K
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  - 10-K
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+ - nlp
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+ - research
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+ - econlp
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+ - economics
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+ - business
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  task_categories:
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  - other
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  task_ids: []
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  ---
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  # Dataset Card for [edgar_corpus]
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  ## Table of Contents
 
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  ### Shoutout
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  Huge shoutout to [@JanosAudran](https://huggingface.co/JanosAudran) for the HF Card setup!
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+ ## Citation
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+ If this work helps or inspires you in any way, please consider citing the relevant paper published at the [3rd Economics and Natural Language Processing (ECONLP) workshop](https://lt3.ugent.be/econlp/) at EMNLP 2021 (Punta Cana, Dominican Republic):
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+ ```
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+ @inproceedings{loukas-etal-2021-edgar,
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+ title = "{EDGAR}-{CORPUS}: Billions of Tokens Make The World Go Round",
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+ author = "Loukas, Lefteris and
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+ Fergadiotis, Manos and
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+ Androutsopoulos, Ion and
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+ Malakasiotis, Prodromos",
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+ booktitle = "Proceedings of the Third Workshop on Economics and Natural Language Processing",
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+ month = nov,
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+ year = "2021",
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+ address = "Punta Cana, Dominican Republic",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2021.econlp-1.2",
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+ pages = "13--18",
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+ }
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+ ```
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  ### References
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  - [Research Paper] Lefteris Loukas, Manos Fergadiotis, Ion Androutsopoulos, and, Prodromos Malakasiotis. EDGAR-CORPUS: Billions of Tokens Make The World Go Round. Third Workshop on Economics and Natural Language Processing (ECONLP). https://arxiv.org/abs/2109.14394 - Punta Cana, Dominican Republic, November 2021.
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  - [Software] Lefteris Loukas, Manos Fergadiotis, Ion Androutsopoulos, and, Prodromos Malakasiotis. EDGAR-CRAWLER. https://github.com/nlpaueb/edgar-crawler (2021)
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+ - [EDGAR CORPUS, but in zip files] EDGAR CORPUS: A corpus for financial NLP research, built from SEC's EDGAR. https://zenodo.org/record/5528490 (2021)
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+
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+ - [Word Embeddings] EDGAR-W2V: Word2vec Embeddings trained on EDGAR-CORPUS. https://zenodo.org/record/5524358 (2021)
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+ - [Applied Research paper where EDGAR-CORPUS is used] Lefteris Loukas, Manos Fergadiotis, Ilias Chalkidis, Eirini Spyropoulou, Prodromos Malakasiotis, Ion Androutsopoulos, and, George Paliouras. FiNER: Financial Numeric Entity Recognition for XBRL Tagging. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). https://doi.org/10.18653/v1/2022.acl-long.303 (2022)
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