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?
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?