Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/6458
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dc.contributor.authorAbu Shama, Samahen_US
dc.contributor.authorAyasa, Aseelen_US
dc.contributor.authorSleem, Wala'en_US
dc.contributor.authorYahya, Adnanen_US
dc.date.accessioned2020-09-17T05:25:46Z-
dc.date.available2020-09-17T05:25:46Z-
dc.date.issued2020-12-16-
dc.identifier.citationSamah Abu Shamma, Aseel Ayasa, Wala’ Sleem and Adnan Yahya. Information Extraction from Arabic Law Documents. The 14th IEEE International Conference Application of Information and Communication Technologies (AICT2020). 07-09 Oct 2020 | Tashkent, Uzbekistanen_US
dc.identifier.urihttp://hdl.handle.net/20.500.11889/6458-
dc.description.abstractInformation hidden in unstructured or semi-structured law documents can be very useful but may not be readily accessible. To get this information, an information extraction (IE) system is needed. Making extracted information available in structured form enables answering complex queries that may go well beyond simple keyword search and thus may be of interest to law professionals. In this paper we address the issue of Arabic information extraction from law documents. We describe a system we developed to extract important information, that may be of interest to potential users of these documents, with minimal human intervention. We employs a hybrid approach that utilizes machine learning and rule-based methods and Arabic NLP to facilitate the extraction of needed information. The approach was applied to a limited class of Arabic law documents and we are working on extending it to other document types and to other fields.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEEen_US
dc.subjectNatural language processing (Computer science) - Arabic Languageen_US
dc.subjectData mining - Data processingen_US
dc.subjectNamed entity recognitionen_US
dc.subjectNamed entity recognition, Arabicen_US
dc.subjectNatural language processing, Arabicen_US
dc.subjectInformation extrcation, Arabicen_US
dc.subjectInformatilon storage and retrieval systemsen_US
dc.titleInformation Extraction from Arabic Law documentsen_US
dc.typeArticleen_US
newfileds.departmentEngineering and Technologyen_US
newfileds.item-access-typeopen_accessen_US
newfileds.thesis-prognoneen_US
newfileds.general-subjectComputers and Information Technology | الحاسوب وتكنولوجيا المعلوماتen_US
dc.relation.conferenceThe 14th IEEE International Conference Application of Information and Communication Technologies 07-09 Oct 2020 | Tashkent, Uzbekistanen_US
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item.languageiso639-1other-
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