Exploiting Functional Discourse Grammar to Enhance Complex Arabic Relation Extraction using a Hybrid Semantic Knowledge Base - Machine Learning Approach

Exploiting Functional Discourse Grammar to Enhance Complex Arabic Relation Extraction using a Hybrid Semantic Knowledge Base - Machine Learning Approach

Relation extraction from unstructured Arabic text is especially challenging due to the Arabic language com plex morphology and the variation in word semantics and lexical categories. The research documented in this paper presents a hybrid Semantic Knowledge base - Machine Learning (SKML) approach fo...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: OSMAN, TAHA (author)
مؤلفون آخرون: KHALIL, HUSSEIN (author), MILTAN, MOHAMMED (author), SHAALAN, KHALED (author), ALFRJANI, ROWIDA (author)
منشور في: 2023
الموضوعات:
CCS Concepts: • Information systems → Information extraction; Additional Key Words and Phrases: Arabic relation extraction, Natural Language Processing, semantic web base, Functional Discourse Grammar, hybrid knowledge-based machine learning classification
الوصول للمادة أونلاين:https://bspace.buid.ac.ae/handle/1234/2795
https://doi.org/10.1145/361058
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الانترنت

https://bspace.buid.ac.ae/handle/1234/2795
https://doi.org/10.1145/361058

مواد مشابهة