NDLI: Name entity recognition using inductive logic programming

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Name entity recognition using inductive logic programming

Content Provider	ACM Digital Library
Author	Nguyen, Thien Huu Le, Huong Thanh
Abstract	Named entity recognition (NER) is the process of seeking to locate atomic elements in text into predefined categories such as the names of persons, organizations, locations, expressions of times, quantities, and percentages. It is useful in applying NER to other natural language tasks such as question-answering, text summarization, building semantic web, etc. This paper presents a system, called BKIE, that uses SRV -- an inductive logic program - to extract name entities in Vietnamese text. New predicates and features are added to SRV to deal with characteristics of Vietnamese language. Also, several strategies are proposed in this paper to improve the efficiency of the SRV algorithm. The data set using in experiments is 80 homepages of scientists in Vietnamese language that were tagged manually. The experiments give us the best F-score of 83% for extracting the "name" entity. It shows that SRV is an efficient NER algorithm given its advantages of generality and flexibility. In order to increase the system's performance, our future work includes (i) building a larger set of training data to improve system's performance; (ii) implementing BKIE using parallel programming to increase system efficiency; and (iii) testing BKIE with other application domains to get a more accurate evaluation of the system.
Starting Page	71
Ending Page	77
Page Count	7
File Format	PDF
ISBN	9781450301053
DOI	10.1145/1852611.1852626
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-08-27
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	First order logic Srv Information extraction Name entity recognition
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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