Events Automatic Extraction from Arabic Texts
| Autor: | Emna Hkiri, Mounir Zrigui, Souheyl Mallat |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Machine translation
business.industry Computer science Arabic nlp Arabic Event (computing) computer.software_genre language.human_language Task (project management) Information extraction Text mining ComputingMethodologies_DOCUMENTANDTEXTPROCESSING language Question answering Artificial intelligence business computer Natural language processing |
| Zdroj: | International Journal of Information Retrieval Research. 6:36-51 |
| ISSN: | 2155-6385 2155-6377 |
| DOI: | 10.4018/ijirr.2016010103 |
| Popis: | The event extraction task consists in determining and classifying events within an open-domain text. It is very new for the Arabic language, whereas it attained its maturity for some languages such as English and French. Events extraction was also proved to help Natural Language Processing tasks such as Information Retrieval and Question Answering, text mining, machine translation etc… to obtain a higher performance. In this article, we present an ongoing effort to build a system for event extraction from Arabic texts using Gate platform and other tools. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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