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Part 1: Document Description
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Citation |
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Title: |
MACE-AL |
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Identification Number: |
doi:10.11588/data/C2OQN4 |
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Distributor: |
heiDATA |
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Date of Distribution: |
2020-03-26 |
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Version: |
1 |
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Bibliographic Citation: |
Rehbein, Ines; Ruppenhofer, Josef; Steen, Julius, 2020, "MACE-AL", https://doi.org/10.11588/data/C2OQN4, heiDATA, V1 |
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Citation |
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Title: |
MACE-AL |
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Subtitle: |
A method for detecting errors in automatic annotations (POS, NER etc.) |
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Identification Number: |
doi:10.11588/data/C2OQN4 |
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Authoring Entity: |
Rehbein, Ines (Leibniz Institute for the German Language) |
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Ruppenhofer, Josef (Leibniz Institute for the German Language) |
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Steen, Julius (Department of Computational Linguistics, Heidelberg University, Germany) |
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Date of Production: |
2017 |
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Distributor: |
heiDATA |
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Access Authority: |
Rehbein, Ines |
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Date of Deposit: |
2019-07-31 |
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Holdings Information: |
https://doi.org/10.11588/data/C2OQN4 |
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Study Scope |
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Keywords: |
Arts and Humanities, Computer and Information Science, Annotation tool, Annotation noise, Error detection, Automatically annotated text |
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Topic Classification: |
Annotation noise, Error detection in automatic annotations, Error detection for POS, NER etc. |
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Abstract: |
A method for detecting noise in automatically annotated sequence-labelled data, combining MACE (Hovy et al. 2013) with Active Learning. |
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Kind of Data: |
python code |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Materials |
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<p><strong>MACE (Multi-Annotator Competence Estimation)</strong>: A generative modelfor Multi-Annotator Competence Estimation</p> <p><strong>Link to resource:</strong> <a href="https://github.com/dirkhovy/MACE">https://github.com/dirkhovy/MACE</a></p> <p><strong>Reference:</strong></p> <p>Hovy, D., Berg-Kirkpatrick, T., Vaswani, A., and Eduard Hovy (2013). Learning whom to trust with MACE. In <em>Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies</em>, pp. 1120–1130, June 9–14, 2013, Atlanta, Georgia. <a href="https://www.aclweb.org/anthology/N13-1132.pdf">https://www.aclweb.org/anthology/N13-1132.pdf</a></p> <p> </p> |
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Related Publications |
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Citation |
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Title: |
</p>Rehbein, I. and Ruppenhofer, J. (2017). Detecting annotation noise in automatically labelled data. In <em>Proceedings of the 55th annual meeting of the Association for Computational Linguistics (ACL'17)</em>, pages 1160–1170, July 30-August 4, 2017, Vancouver, Canada. |
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Bibliographic Citation: |
</p>Rehbein, I. and Ruppenhofer, J. (2017). Detecting annotation noise in automatically labelled data. In <em>Proceedings of the 55th annual meeting of the Association for Computational Linguistics (ACL'17)</em>, pages 1160–1170, July 30-August 4, 2017, Vancouver, Canada. |
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Label: |
MACE-AL.zip |
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Notes: |
application/zip |