Knowledge-based semantic relatedness measure using semantic features

• 主要な著者: Ali Muttaleb, Hasan, Noorhuzaimi@Karimah, Mohd Noor, Rassem, Taha H., Ahmed Muttaleb, Hasan
• フォーマット: 論文
• 言語: English; English
• 出版事項: The World Academy of Research in Science and Engineering 2020
• 主題: QA75 Electronic computers. Computer science; QA76 Computer software
• オンライン･アクセス: 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

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...