The impact of using different annotation schemes on named entity recognition

Author:

Alshammari Nasser,Alanazi Saad

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Computer Science Applications,Information Systems

Reference24 articles.

1. Sang ETK, Buchholz S, Introduction to the CONLL-2000 Shared Task: Chunking, in: Proceedings of the fourth conference on computational natural language learning and of the second learning language in logic workshop (CONLL/LLL 2000). Lissabon, Portugal, 13–14 september 2000, ACL; 2000. p. 127–32.

2. Konkol M, Konopík M, Segment representations in named entity recognition. In International conference on text, speech, and dialogue. Springer; 2015. p. 61–70.

3. Transfer learning for arabic named entity recognition with deep neural networks;Al-Smadi;IEEE Access,2020

4. Boosting arabic named entity recognition transliteration with deep learning;Alkhatib,2020

5. Arabic named entity recognition via deep co-learning;Helwe;Artif Intell Rev,2019

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