Takuma Kato author Kaori Abe author Hiroki Ouchi author Shumpei Miyawaki author Jun Suzuki author Kentaro Inui author 2020-jul text Association for Computational Linguistics Online conference publication In general, the labels used in sequence labeling consist of different types of elements. For example, IOB-format entity labels, such as B-Person and I-Person, can be decomposed into span (B and I) and type information (Person). However, while most sequence labeling models do not consider such label components, the shared components across labels, such as Person, can be beneficial for label prediction. In this work, we propose to integrate label component information as embeddings into models. Through experiments on English and Japanese fine-grained named entity recognition, we demonstrate that the proposed method improves performance, especially for instances with low-frequency labels. kato-etal-2020-embeddings https://www.aclweb.org/anthology/2020.acl-srw.30 2020-jul 222 229