Author:
Benajiba Yassine,Rosso Paolo,BenedíRuiz José Miguel
Publisher
Springer Berlin Heidelberg
Reference17 articles.
1. Friburger, N., Maurel, D.: Textual Similarity Based on Proper Names. In: (MFIR’2002) at the 25 th ACM SIGIR Conference, Tampere, Finland, pp. 155–167. ACM, New York (2002)
2. Sundheim, B.M.: Overview of results of the MUC-6 evaluation. In: Proceedings of the 6th Conference on Message understanding, Columbia, Maryland, November 06-08 (1995)
3. Abuleil, S., Evens, M.: Extracting Names from Arabic text for Question-Answering Systems. In: Computers and the Humanities, Springer, Heidelberg (2002)
4. Maloney, J., Niv, M.: TAGARAB, A Fast, Accurate Arabic Name Recognizer Using High-Precision Morphological Analysis. In: Proceedings of the Workshop on Computational Approaches to Semitic Languages (1998)
5. Bender, O., Och, F.J., Ney, H.: Maximum Entropy Models For Named Entity Recognition. In: Proceedings of CoNLL-2003, Edmonton, Canada (2003)
Cited by
47 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. Comparing Open Arabic Named Entity Recognition Tools;2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science (IRI);2023-08
2. ANER: Arabic and Arabizi Named Entity Recognition using Transformer-Based Approach;2023 Intelligent Methods, Systems, and Applications (IMSA);2023-07-15
3. DarNERcorp: An annotated named entity recognition dataset in the Moroccan dialect;Data in Brief;2023-06
4. Medical Named Entity Recognition in Arabic Text using SVM;2023 IEEE 3rd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA);2023-05-21
5. Arabic Named Entity Recognition Using Clustered Word Embedding;Computational Linguistics and Intelligent Text Processing;2023