semvec/pypi-packages huggingface dataset:
srl-bert-verbatlas 0.9.9
SRL Bert model trained with VerbAtlas inventory
Requires Python: >=3.6

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# Semantic Role Lableing with BERT

Semantic Role Labeling based on [AllenNLP implementation](https://demo.allennlp.org/semantic-role-labeling) of [Shi et al, 2019](https://arxiv.org/abs/1904.05255). It uses [VerbAatlas](http://verbatlas.org/) inventory and it's trained also on predicate disambiguation, in addition to arguments identification and disambiguation.

- Language Model: BERT
- Dataset: CoNLL 2012


### Results

With `bert-base-cased`:
```
# Dev set
- F1 arguments 87.2
- F1 predicates 94.2
# Test set
- F1 arguments 87.1
- F1 predicates 94.9
```

With `bert-base-multilingual-cased`:
```
# Dev set
- F1 arguments 86.2
- F1 predicates 94.2
# Test set
- F1 arguments 86.1
- F1 predicates 94.9
```