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Effective Context and Fragment Feature Usage for Named Entity Recognition
In this paper, we explore a new approach to named entity recognition (NER) with the goal of learning from context and fragment features more effectively, contributing to the improvement of overall recognition performance.
A Multi-task Learning Approach for Named Entity Recognition using Local Detection
As a result, we observed competitive performance in nearly all of the tasks.
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