Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  extend the classical single-task active learning (AL) approach. In the multi-task active learning (MTAL) paradigm,  select examples for several annotation tasks rather than for a single one as usually done in the context of AL.  introduce two MTAL metaprotocols, alternating selection and rank combination, and propose a method to implement them in practice.  experiment with a twotask annotation scenario that includes named entity and syntactic parse tree annotations on three different corpora. MTAL outperforms random selection and a stronger baseline, onesided example selection, in which one task is pursued using AL and the selected examples are provided also to the other task.
['Roi Reichart', 'Katrin Tomanek', 'Udo Hahn', 'Ari Rappoport']
I am writing a research paper on a idea Multi-Task Active Learning for Linguistic Annotations
[{"from": "human", "value": "I am writing a research paper on a idea Multi-Task Active Learning for Linguistic Annotations"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  extend the classical single-task active learning (AL) approach. In the multi-task active learning (MTAL) paradigm,  select examples for several annotation tasks rather than for a single one as usually done in the context of AL.  introduce two MTAL metaprotocols, alternating selection and rank combination, and propose a method to implement them in practice.  experiment with a twotask annotation scenario that includes named entity and syntactic parse tree annotations on three different corpora. MTAL outperforms random selection and a stronger baseline, onesided example selection, in which one task is pursued using AL and the selected examples are provided also to the other task."}]