Citation entity recognition method using multi‐feature semantic fusion based on deep learning-Reference-Cited by-同舟云学术

Citation entity recognition method using multi‐feature semantic fusion based on deep learning

Published:2021-12-16 Issue: Volume: Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Gao Jie¹,Zhang Zuping¹^ORCID,Cao Ping¹,Huang Wei¹^ORCID,Li Fangfang¹

Affiliation:

1. School of Computer Science and Engineering Central South University Changsha China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6770

Reference48 articles.

1. A survey of named entity recognition and classification

2. SangEF De MeulderF.Introduction to the CoNLL‐2003 shared task: language‐independent named entity recognition; 2003. arXiv preprint cs/0306050 2003.

3. BlackWJ RinaldiF MowattD.FACILE: description of the NE system used for MUC‐7. Proceedings of the Message Understanding Conference (MUC‐7); April 29–May 1 1998; Virginia Fairfax.

4. KrupkaGR HausmanK.Isoquest iinc: description of the Nnetowl (Ttm) extractor system as used for Mmuc‐7. Proceedings of MUC; 1998:7.

5. BorthwickA SterlingJ AgichteinE et al.NYU: description of the MENE named entity system as used in MUC‐7. Proceedings of the 7th Message Understanding Conference (MUC‐7): Conference Held in Fairfax; April 29–May 1 1998; Virginia.

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