A Coreference Resolution Approach using Morphological Features in Arabic
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 10
Abstract
Coreference resolution is considered one of the challenges in natural language processing. It is an important task that includes determining which pronouns are referring to which entities. Most of the earlier approaches for coreference resolution are rule-based or machine learning approaches. However, these types of approaches have many limitations especially with Arabic language. In this paper, a different approach to coreference resolution is presented. The approach uses morphological features and dependency trees instead. It has fivestages, which overcomes the limitations of using annotated datasets for learning or a set of rules. The approach was evaluatedusing our own customized annotated dataset and “AnATAr” dataset. The evaluation show encouraging results with average F1 score of 89%.
Authors and Affiliations
Majdi Beseiso, Abdulkareem Al-Alwani
Keywords
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- EP ID EP133807
- DOI 10.14569/IJACSA.2016.071014
- Views 128
- Downloads 0
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