Towards Malay named entity recognition: an open-source dataset and a multi-task framework-Reference-Cited by-同舟云学术

Towards Malay named entity recognition: an open-source dataset and a multi-task framework

Published:2022-12-28 Issue:1 Volume:35 Page:
ISSN:0954-0091
Container-title:Connection Science
language:en
Short-container-title:Connection Science

Author:

Fu Yingwen¹,Lin Nankai²^ORCID,Yang Zhihe¹,Jiang Shengyi¹³^ORCID

Affiliation:

1. School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, People's Republic of China

2. School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, People's Republic of China

3. Guangzhou Key Laboratory of Multilingual Intelligent Processing, Guangzhou, People's Republic of China

Funder

Science and Technology Program of Guangzhou

GDUFS

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/09540091.2022.2159014

Reference60 articles.

1. AMRITA_CEN@FIRE-2014

2. Pooled Contextualized Embeddings for Named Entity Recognition

3. Akbik, A., Blythe, D. & Vollgraf, R. (2018). Contextual string embeddings for sequence labelling. In E. M. Bender, L. Derczynski, and P. Isabelle (Eds.), Proceedings of the 27th international conference on computational linguistics, COLING 2018, August 20–26 (pp. 1638–1649). Association for Computational Linguistics. https://aclanthology.org/C18-1139/.

4. DBpedia entities expansion in automatically building dataset for Indonesian NER

5. Modified DBpedia entities expansion for tagging automatically NER dataset

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Tagging Algorithm and POS Tags for Narrator's Name in Hadith Document;2023 4th International Conference on Artificial Intelligence and Data Sciences (AiDAS);2023-09-06

2. Name Entity Recognition Tasks: Technologies and Tools;Modeling and Analysis of Information Systems;2023-04-28

3. Self-Training With Double Selectors for Low-Resource Named Entity Recognition;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2023