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# System prepended metadata

title: DTCC - Brainstorming

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# DTCC - Brainstorming

## Previously on DTCC
* ST Embeddings + RF
    * GradientTreeBoosting: ~0.62
    * PyTorch MLP: ~0.62 (best case)
* gbert-base finetuned
    * transformer for SeqClassification: 0.597 (very best case)
    * into lstm/gru: 0.63 (0.52 with wrong finetuning -> check out)


## Ideas
* custom encoding (instead of BERT)
* feature ablation
* jiant mtl
* wordnet / germanet
* hf classifiert pooling layer

