Datasets:
Modalities:
Text
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
1M - 10M
ArXiv:
License:
Update README.md
Browse files
README.md
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These models were pre-trained on 260,773 10-K filings (annual reports) from 1993-2019, publicly available at [U.S. Securities and Exchange Commission (SEC)](https://www.sec.gov/)
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</div>
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## About Us
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[AUEB's Natural Language Processing Group](http://nlp.cs.aueb.gr) develops algorithms, models, and systems that allow computers to process and generate natural language texts.
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The group's current research interests include:
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* question answering systems for databases, ontologies, document collections, and the Web, especially biomedical question answering,
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machine learning in natural language processing, especially deep learning.
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The group is part of the Information Processing Laboratory of the Department of Informatics of the Athens University of Economics and Business.
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</div>
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[Manos Fergadiotis](https://manosfer.github.io) on behalf of [AUEB's Natural Language Processing Group](http://nlp.cs.aueb.gr)
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These models were pre-trained on 260,773 10-K filings (annual reports) from 1993-2019, publicly available at [U.S. Securities and Exchange Commission (SEC)](https://www.sec.gov/)
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</div>
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## About Us
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[**AUEB's Natural Language Processing Group**](http://nlp.cs.aueb.gr) develops algorithms, models, and systems that allow computers to process and generate natural language texts.
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The group's current research interests include:
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* question answering systems for databases, ontologies, document collections, and the Web, especially biomedical question answering,
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machine learning in natural language processing, especially deep learning.
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The group is part of the Information Processing Laboratory of the Department of Informatics of the Athens University of Economics and Business.
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[Manos Fergadiotis](https://manosfer.github.io) on behalf of [AUEB's Natural Language Processing Group](http://nlp.cs.aueb.gr)
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