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NER-FL: A Novel Named Entity Recognizer of Farsi Language using the Web-Based Natural Language Processors and Semantic Annotations

by Babak Farhadi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 98 - Number 1
Year of Publication: 2014
Authors: Babak Farhadi
10.5120/17150-7193

Babak Farhadi . NER-FL: A Novel Named Entity Recognizer of Farsi Language using the Web-Based Natural Language Processors and Semantic Annotations. International Journal of Computer Applications. 98, 1 ( July 2014), 34-37. DOI=10.5120/17150-7193

@article{ 10.5120/17150-7193,
author = { Babak Farhadi },
title = { NER-FL: A Novel Named Entity Recognizer of Farsi Language using the Web-Based Natural Language Processors and Semantic Annotations },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 98 },
number = { 1 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 34-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume98/number1/17150-7193/ },
doi = { 10.5120/17150-7193 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:25:06.055733+05:30
%A Babak Farhadi
%T NER-FL: A Novel Named Entity Recognizer of Farsi Language using the Web-Based Natural Language Processors and Semantic Annotations
%J International Journal of Computer Applications
%@ 0975-8887
%V 98
%N 1
%P 34-37
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Named Entity Recognition is a main task in the NLP area that has yielded multiple web-based natural language processors gaining popularity in the Semantic Web community for extracting knowledge from web data. These processors are generally located as pipelines, using dedicated APIs and various taxonomy for extracting, classifying and disambiguating named entities. In this paper, we address the problem of NER on Farsi language by proposing NER-FL, a novel semantic framework which unifies three popular named entity extractors available on the web, and the NER-FL ontology which provides a rich set of axioms aligning the taxonomies of these web natural language processors automatically on the LOD-cloud.

References
  1. B. Farhadi and M. B. Ghaznavi Ghoushchi, "Creating a Novel Semantic Video Search Engine through Enrichment Textual and Temporal Features of Subtitled YouTube Media Fragments, " in 3rd International conference on Computer and Knowledge Engineering, 2013.
  2. B. Farhadi, "Enriching Subtitled YouTube Media Fragments via Utilization of the Web-Based Natural Language Processors and Efficient Semantic Video Annotations," Global Journal of Science, Engineering and Technology, pp. 41-54, 2013.
  3. Rizzo G. and Troncy R, " NERD: A Framework for Evaluating Named Entity Recognition Tools in the Web of Data, " 10th International Semantic Web Conference (ISWC'11), 2011.
  4. R. Cyganiak and A. Jentzsch, "Linking open data cloud diagram," LOD Community (http://lod-cloud. net/), 2011.
  5. L. F. Rau, "Extracting company names from text," in Artificial Intelligence Applications, 1991. Proceedings. , Seventh IEEE Conference on, 1991, pp. 29-32.
  6. P. N. Mendes, M. Jakob, A. García-Silva, and C. Bizer, "DBpedia spotlight: shedding light on the web of documents," in Proceedings of the 7th International Conference on Semantic Systems, 2011, pp. 1-8.
Index Terms

Computer Science
Information Sciences

Keywords

Web-based natural language processor named entity semantic web ontology Farsi language

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