research-article

A Route-aware Model for Entity Recognition with Diverse Structures

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Yuan DongAuthors Info & Claims

ICCAI '21: Proceedings of the 2021 7th International Conference on Computing and Artificial Intelligence

Pages 372 - 378

https://doi.org/10.1145/3467707.3467763

Published: 24 September 2021 Publication History

Abstract

Summary: Discontinuous entities are widely existing in actual texts. However, most named entity recognition (NER) systems deal only with the flat entities and ignore others. Some NER models claim to recognize these entities but suffer from some level of ambiguity. To address this issue, we propose a novel route-aware model to unambiguously extract entities with all kinds of structures. We identify the span of all the entities and the adjacent matrix of the sentence respectively and decode all the routes within the extracted span. Experiments show that our route-aware model achieves 40.2 F1 scores in CADEC dataset and 36.8 in DDI dataset on NER with complex structures and comparable performance on NER with all the entities.

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Cited By

Alhassan ASchlegel VAloud MBatista-Navarro RNenadic G(2025)Discontinuous named entities in clinical text: A systematic literature reviewJournal of Biomedical Informatics10.1016/j.jbi.2025.104783162(104783)Online publication date: Feb-2025
https://doi.org/10.1016/j.jbi.2025.104783

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ICCAI '21: Proceedings of the 2021 7th International Conference on Computing and Artificial Intelligence

April 2021

498 pages

ISBN:9781450389501

DOI:10.1145/3467707

Copyright © 2021 ACM.

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Publication History

Published: 24 September 2021

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ICCAI '21

ICCAI '21: 2021 7th International Conference on Computing and Artificial Intelligence

April 23 - 26, 2021

Tianjin, China

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Cited By

Alhassan ASchlegel VAloud MBatista-Navarro RNenadic G(2025)Discontinuous named entities in clinical text: A systematic literature reviewJournal of Biomedical Informatics10.1016/j.jbi.2025.104783162(104783)Online publication date: Feb-2025
https://doi.org/10.1016/j.jbi.2025.104783

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