Deep Neural Architectures for Joint Named Entity Recognition and Disambiguation

Qianwen Wang, Mizuho Iwaihara

研究成果: Conference contribution

抄録

Current entity linking methods typically first apply a named entity recognition (NER) model to extract a named entity and classify it into a predefined category, then apply an entity disambiguation model to link the named entity to a corresponding entity in the reference knowledge base. However, these methods ignore the inter-relations between the two tasks. Our work jointly optimizes deep neural models of both NER and entity disambiguation. In the entity disambiguation task, our deep neural model includes a recursive neural network and convolutional neural network with attention mechanism. Our model compares similarities between a mention and candidate entities by simultaneously considering semantic and background information, including Wikipedia description pages, contexts where the mention occurs, and entity typing information. The experiments show that our model can effectively leverage the semantic information of context, and performs competitively to conventional approaches.

元の言語English
ホスト出版物のタイトル2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings
出版者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538677896
DOI
出版物ステータスPublished - 2019 4 1
イベント2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Kyoto, Japan
継続期間: 2019 2 272019 3 2

出版物シリーズ

名前2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings

Conference

Conference2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019
Japan
Kyoto
期間19/2/2719/3/2

Fingerprint

Semantics
Neural networks
Named entity recognition
Experiments
Named entity
Wikipedia
Knowledge base
Leverage
Experiment

ASJC Scopus subject areas

  • Information Systems and Management
  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems

これを引用

Wang, Q., & Iwaihara, M. (2019). Deep Neural Architectures for Joint Named Entity Recognition and Disambiguation. : 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings [8679233] (2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIGCOMP.2019.8679233

Deep Neural Architectures for Joint Named Entity Recognition and Disambiguation. / Wang, Qianwen; Iwaihara, Mizuho.

2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8679233 (2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings).

研究成果: Conference contribution

Wang, Q & Iwaihara, M 2019, Deep Neural Architectures for Joint Named Entity Recognition and Disambiguation. : 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings., 8679233, 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019, Kyoto, Japan, 19/2/27. https://doi.org/10.1109/BIGCOMP.2019.8679233
Wang Q, Iwaihara M. Deep Neural Architectures for Joint Named Entity Recognition and Disambiguation. : 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8679233. (2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings). https://doi.org/10.1109/BIGCOMP.2019.8679233
Wang, Qianwen ; Iwaihara, Mizuho. / Deep Neural Architectures for Joint Named Entity Recognition and Disambiguation. 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings).
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