A Hybrid Approach for Extracting Arabic Persons’ Names and Resolving Their Ambiguity from Twitter

Author:

Zayed Omnia H.,El-Beltagy Samhaa R.

Publisher

Springer International Publishing

Reference31 articles.

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2. Shaalan, K.: A survey of arabic named entity recognition and classification. Comput. Linguist. 40, 469–510 (2014)

3. Farghaly, A., Shaalan, K.: Arabic natural language processing: challenges and solutions. ACM Trans. Asian Lang. Inf. Process. 8, 1–22 (2009)

4. Lecture Notes in Computer Science;O Zayed,2013

5. Darwish, K.: Named entity recognition using cross-lingual resources: arabic as an example. In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, pp. 1558–1567. Association for Computational Linguistics, Sofia (2013)

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1. Using Deep Neural Networks for Extracting Sentiment Targets in Arabic Tweets;Intelligent Natural Language Processing: Trends and Applications;2017-11-18

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