A Comprehensive Comparative Study of Word and Sentence Similarity Measures
Sentence similarity is considered the basis of many natural language tasks such as information retrieval, question answering and text summarization. The semantic meaning between compared text fragments is based on the words’ semantic features and their relationships. This article reviews a set of wo...
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| Format: | Article |
| Language: | English |
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International Journal of Computer Applications
2016
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| Online Access: | http://ir.unimas.my/id/eprint/16381/ http://ir.unimas.my/id/eprint/16381/1/Issa%20Atoum.pdf |
| _version_ | 1848838052829462528 |
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| author | Issa, Atoum Ahmed, Otoom Narayanan, Kulathuramaiyer |
| author_facet | Issa, Atoum Ahmed, Otoom Narayanan, Kulathuramaiyer |
| author_sort | Issa, Atoum |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | Sentence similarity is considered the basis of many natural language tasks such as information retrieval, question answering and text summarization. The semantic meaning between compared text fragments is based on the words’ semantic features and their relationships. This article reviews a set of word and sentence similarity measures and compares them on benchmark datasets. On the studied datasets, results showed that hybrid semantic measures perform better than both knowledge and corpus based measures. |
| first_indexed | 2025-11-15T06:49:26Z |
| format | Article |
| id | unimas-16381 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:49:26Z |
| publishDate | 2016 |
| publisher | International Journal of Computer Applications |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-163812022-02-04T08:45:19Z http://ir.unimas.my/id/eprint/16381/ A Comprehensive Comparative Study of Word and Sentence Similarity Measures Issa, Atoum Ahmed, Otoom Narayanan, Kulathuramaiyer T Technology (General) Sentence similarity is considered the basis of many natural language tasks such as information retrieval, question answering and text summarization. The semantic meaning between compared text fragments is based on the words’ semantic features and their relationships. This article reviews a set of word and sentence similarity measures and compares them on benchmark datasets. On the studied datasets, results showed that hybrid semantic measures perform better than both knowledge and corpus based measures. International Journal of Computer Applications 2016 Article PeerReviewed text en http://ir.unimas.my/id/eprint/16381/1/Issa%20Atoum.pdf Issa, Atoum and Ahmed, Otoom and Narayanan, Kulathuramaiyer (2016) A Comprehensive Comparative Study of Word and Sentence Similarity Measures. International Journal of Computer Applications, 135 (1). ISSN 0975 – 8887 https://www.researchgate.net/publication/294873785_A_Comprehensive_Comparative_Study_of_Word_and_Sentence_Similarity_Measures DOI: 10.5120/ijca2016908259 |
| spellingShingle | T Technology (General) Issa, Atoum Ahmed, Otoom Narayanan, Kulathuramaiyer A Comprehensive Comparative Study of Word and Sentence Similarity Measures |
| title | A Comprehensive Comparative Study of Word and Sentence Similarity Measures |
| title_full | A Comprehensive Comparative Study of Word and Sentence Similarity Measures |
| title_fullStr | A Comprehensive Comparative Study of Word and Sentence Similarity Measures |
| title_full_unstemmed | A Comprehensive Comparative Study of Word and Sentence Similarity Measures |
| title_short | A Comprehensive Comparative Study of Word and Sentence Similarity Measures |
| title_sort | comprehensive comparative study of word and sentence similarity measures |
| topic | T Technology (General) |
| url | http://ir.unimas.my/id/eprint/16381/ http://ir.unimas.my/id/eprint/16381/ http://ir.unimas.my/id/eprint/16381/ http://ir.unimas.my/id/eprint/16381/1/Issa%20Atoum.pdf |