| --- |
| language: |
| - en |
| tags: |
| - sentence classification |
| - vossian antonomasia |
| license: "apache-2.0" |
| datasets: |
| - custom |
| widget: |
| - text: Bijan wants Jordan to be the Elizabeth Taylor of men's fragrances. |
| metrics: |
| - f1 |
| - precision |
| - recall |
| --- |
| |
| ## English Vossian Antonomasia Sentence Classifier |
|
|
| This page presents a fine-tuned [BERT-base-cased](https://huggingface.co/bert-base-cased) language model for classifying sentences that include Vossian Antonomasia. |
| The label "VA" corresponds to the occurrence of a Vossian Antonomasia in the sentence. |
|
|
| ### Dataset |
|
|
| The dataset is a labeled Vossian Antonomasia dataset that evolved from [Schwab et al. 2019](https://www.aclweb.org/anthology/D19-1647.pdf) and was updated in [Schwab et al. 2022](https://doi.org/10.3389/frai.2022.868249). |
|
|
| ### Results |
|
|
| F1 score: 0.974 |
|
|
| For more results, please have a look at [our paper](https://doi.org/10.3389/frai.2022.868249). |
|
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|
|
|
|
| --- |
|
|
| ### Cite |
|
|
| Please cite the following paper when using this model. |
|
|
| ``` |
| @article{schwab2022rodney, |
| title={“The Rodney Dangerfield of Stylistic Devices”: End-to-End Detection and Extraction of Vossian Antonomasia Using Neural Networks}, |
| author={Schwab, Michel and J{\"a}schke, Robert and Fischer, Frank}, |
| journal={Frontiers in Artificial Intelligence}, |
| volume={5}, |
| year={2022}, |
| publisher={Frontiers Media SA} |
| } |
| ``` |
|
|
|
|
| --- |
|
|
| ### Interested in more? |
| Visit our [Website](http://vossanto.weltliteratur.net/) for more research on Vossian Antonomasia, including interactive visualizations for exploration. |
