
## 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).




---

### 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.
{"language": ["en"], "license": "apache-2.0", "tags": ["sentence classification", "vossian antonomasia"], "datasets": ["custom"], "metrics": ["f1", "precision", "recall"], "widget": [{"text": "Bijan wants Jordan to be the Elizabeth Taylor of men's fragrances."}]}
transformers pytorch bert text-classification sentence classification vossian antonomasia en dataset:custom license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #sentence classification #vossian antonomasia #en #dataset-custom #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 


## English Vossian Antonomasia Sentence Classifier

This page presents a fine-tuned 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 and was updated in Schwab et al. 2022.

### Results

F1 score: 0.974

For more results, please have a look at our paper.




---

### Cite

Please cite the following paper when using this model.




---

### Interested in more?
Visit our Website for more research on Vossian Antonomasia, including interactive visualizations for exploration.
## English Vossian Antonomasia Sentence Classifier

This page presents a fine-tuned 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 and was updated in Schwab et al. 2022. ### Results

F1 score: 0.974

For more results, please have a look at our paper.




--- ### Cite

Please cite the following paper when using this model.




--- ### Interested in more?
Visit our Website for more research on Vossian Antonomasia, including interactive visualizations for exploration.
TAGS
#transformers #pytorch #bert #text-classification #sentence classification #vossian antonomasia #en #dataset-custom #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ## English Vossian Antonomasia Sentence Classifier

This page presents a fine-tuned 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 and was updated in Schwab et al. 2022. ### Results

F1 score: 0.974

For more results, please have a look at our paper.




--- ### Cite

Please cite the following paper when using this model.




--- ### Interested in more?
Visit our Website for more research on Vossian Antonomasia, including interactive visualizations for exploration.
passage: TAGS
#transformers #pytorch #bert #text-classification #sentence classification #vossian antonomasia #en #dataset-custom #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
## English Vossian Antonomasia Sentence Classifier

This page presents a fine-tuned 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 and was updated in Schwab et al. 2022.### Results

F1 score: 0.974

For more results, please have a look at our paper.




---### Cite

Please cite the following paper when using this model.




---### Interested in more?
Visit our Website for more research on Vossian Antonomasia, including interactive visualizations for exploration.