Knowledge-based semantic relatedness measure using semantic features

Knowledge-based semantic relatedness measure using semantic features

Measuring semantic relatedness has received much attention for uses in many fields such as information retrieval and natural language processing. For handling synonymous problem in distributional-based measures, many researchers are investigating how to exploit semantic features in lexical sources t...

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Bibliographic Details
Main Authors: Ali Muttaleb, Hasan, Noorhuzaimi@Karimah, Mohd Noor, Rassem, Taha H., Ahmed Muttaleb, Hasan
Format: Article
Language:English
English
Published: The World Academy of Research in Science and Engineering 2020
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/28458/1/IJATCSE-0292--04-2020Ali.M.pdf
http://umpir.ump.edu.my/id/eprint/28458/7/Knowledge-based%20semantic%20relatedness%20measure%20using%20semantic%20features.pdf
http://umpir.ump.edu.my/id/eprint/28458/
https://doi.org/10.30534/ijatcse/2020/02922020
https://doi.org/10.30534/ijatcse/2020/02922020
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Institution: Universiti Malaysia Pahang
Language: English
English

Internet

http://umpir.ump.edu.my/id/eprint/28458/1/IJATCSE-0292--04-2020Ali.M.pdf
http://umpir.ump.edu.my/id/eprint/28458/7/Knowledge-based%20semantic%20relatedness%20measure%20using%20semantic%20features.pdf
http://umpir.ump.edu.my/id/eprint/28458/
https://doi.org/10.30534/ijatcse/2020/02922020
https://doi.org/10.30534/ijatcse/2020/02922020

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