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huggingface / hmtl

🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP

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Negation detection as a Multi-task learning (MTL) layer

nipunsadvilkar opened this issue · comments

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I have been going through this paper - Joint Entity Extraction and Assertion Detection for Clinical Text - which proposes an MTL approach to negation detection that leverages overlapping representation across sub-tasks i.e., jointly model named entity and negation
in an end-to-end system.

I already have NER model in place and was thinking how would I implement MTL using HMTL but I find it difficult mold given examples in this repo into negation multitask.

@VictorSanh : Would like to know your take on how to go about it?