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---
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license: apache-2.0
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language:
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- de
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base_model:
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- dbmdz/bert-base-german-uncased
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pipeline_tag: text-classification
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---
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# Model Summary |
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This model is a finetuned [bert-base-german-uncased](https://huggingface.co/dbmdz/bert-base-german-uncased) for binary classification of short quotations between |
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literary works and scholarly works. The model is intended to be used as part of our tool `ProQuoLM`. More information can be found in the corresponding |
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[repository](https://scm.cms.hu-berlin.de/schluesselstellen/proquo) and our paper |
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[A Novel Approach for Identification and Linking of Short Quotations in Scholarly Texts and Literary Works](https://jcls.io/article/id/3590/). |
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# Citation |
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~~~ |
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@article{arnold2023, |
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author = {Frederik Arnold, Robert Jäschke}, |
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title = {A Novel Approach for Identification and Linking of Short Quotations in Scholarly Texts and Literary Works}, |
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volume = {2}, |
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year = {2023}, |
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url = {https://jcls.io/article/id/3590/}, |
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issue = {1}, |
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doi = {10.48694/jcls.3590}, |
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month = {1}, |
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publisher={Universitäts- und Landesbibliothek Darmstadt}, |
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journal = {Journal of Computational Literary Studies} |
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} |
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~~~ |
