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in my latest blog post I used the MobIE NER Dataset to show how to fine-tune models with Flair.
I wrote a custom dataset loader for the MobIE NER Dataset:
The German MobIE Dataset was introduced in the MobIE paper by Hennig, Truong and Gabryszak (2021).
It's a German-language dataset that has been human-annotated with 20 coarse- and fine-grained entity types, and it includes entity linking information for geographically linkable entities. The dataset comprises 3,232 social media texts and traffic reports, totaling 91K tokens, with 20.5K annotated entities, of which 13.1K are linked to a knowledge base. In total, 20 different named entities are annotated.
Solution
Add MobIE support into Flair directly - example class:
Problem statement
Hey,
in my latest blog post I used the MobIE NER Dataset to show how to fine-tune models with Flair.
I wrote a custom dataset loader for the MobIE NER Dataset:
The German MobIE Dataset was introduced in the MobIE paper by Hennig, Truong and Gabryszak (2021).
It's a German-language dataset that has been human-annotated with 20 coarse- and fine-grained entity types, and it includes entity linking information for geographically linkable entities. The dataset comprises 3,232 social media texts and traffic reports, totaling 91K tokens, with 20.5K annotated entities, of which 13.1K are linked to a knowledge base. In total, 20 different named entities are annotated.
Solution
Add MobIE support into Flair directly - example class:
https://github.com/stefan-it/autotrain-flair-mobie/blob/main/mobie_dataset.py
It also has some unit tests:
https://github.com/stefan-it/autotrain-flair-mobie/blob/main/script.py#L11-L19
Additional Context
No response
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