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A Rule-based Named Entity Extraction Method and Syntactico-Semantic Annotation

Authors:
Chahira Lhioui
Anis Zouaghi
Mounir Zrigui

Keywords: Named Entity Extraction; Semantic annotation; NooJ plateform

Abstract:
There is a widely held belief in the natural language processing (NLP) and computational linguistics communities that knowledge recognition such us Named Entities (NE) recognition is a significant step toward improving important applications, e.g., question answering and natural language understanding (NLU). In this paper, we present an NE recognition system for Modern Standard Arabic using the NooJ platform. This system exploits many aspects of the rich morphological features of the language. The experiments on the pilot Arabic Propbank data show that our system based on linguistic rules produces a global NE recognition F-measure score of 87%, which improves the current state of the art in Arabic NE recognition.

Pages: 63 to 69

Copyright: Copyright (c) IARIA, 2017

Publication date: April 23, 2017

Published in: conference

ISSN: 2519-8386

ISBN: 978-1-61208-552-4

Location: Venice, Italy

Dates: from April 23, 2017 to April 27, 2017