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Authors: Reham Mohamed ; Nagwa M. El-Makky and Khaled Nagi

Affiliation: Alexandria University, Egypt

ISBN: 978-989-758-158-8

Keyword(s): Relation Extraction, Linked Data, DBpedia.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Data Engineering ; Enterprise Ontology ; Knowledge Acquisition ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Natural Language Processing ; Ontologies and the Semantic Web ; Pattern Recognition ; Symbolic Systems

Abstract: Relation Extraction is an important preprocessing task for a number of text mining applications, including: Information Retrieval, Question Answering, Ontology building, among others. In this paper, we propose a novel Arabic relation extraction method that leverages linguistic features of the Arabic language in Web data to infer relations between entities. Due to the lack of labeled Arabic corpora, we adopt the idea of distant supervision, where DBpedia, a large database of semantic relations extracted from Wikipedia, is used along with a large unlabeled text corpus to build the training data. We extract the sentences from the unlabeled text corpus, and tag them using the corresponding DBpedia relations. Finally, we build a relation classifier using this data which predicts the relation type of new instances. Our experimental results show that the system reaches 70% for the F-measure in detecting relations.

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Paper citation in several formats:
Mohamed, R.; M. El-Makky, N. and Nagi, K. (2015). ArabRelat: Arabic Relation Extraction using Distant Supervision.In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015) ISBN 978-989-758-158-8, pages 410-417. DOI: 10.5220/0005636604100417

@conference{keod15,
author={Reham Mohamed. and Nagwa M. El{-}Makky. and Khaled Nagi.},
title={ArabRelat: Arabic Relation Extraction using Distant Supervision},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015)},
year={2015},
pages={410-417},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005636604100417},
isbn={978-989-758-158-8},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015)
TI - ArabRelat: Arabic Relation Extraction using Distant Supervision
SN - 978-989-758-158-8
AU - Mohamed, R.
AU - M. El-Makky, N.
AU - Nagi, K.
PY - 2015
SP - 410
EP - 417
DO - 10.5220/0005636604100417

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