Papers with I-Person

1 papers
Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition (2020.acl-srw)

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Challenge: In general, the labels used in sequence labeling consist of different types of elements.
Approach: They propose to integrate label component information as embeddings into sequence labeling models.
Outcome: The proposed method improves on English and Japanese fine-grained named entity recognition on low-frequency labels.

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