Part of speech-based semantic similarity for RDF Predicate Selection : A benchmarking approach
Aatif Ahmad Khanaatif1992@gmail.comUniversity School of Information, Communication and TechnologyGuru Gobind Singh Indraprastha UniversityNew Delhi, IndiaView full profile → , Sanjay Kumar Maliksdmalik@hotmail.comUniversity School of Information, Communication and TechnologyGuru Gobind Singh Indraprastha UniversityNew Delhi, IndiaView full profile → , *Vanita JainCorresponding authorvjain@electronics.du.ac.inUniversity of DelhiNew Delhi, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 08 Apr 2024
- Published Online:
- 18 Dec 2024
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-1781
- Pages:
- 2179–2192
Abstract
Keywords
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References
[1] T. Ahmad, M. Ahamad, S. U. Ahmed and N. Ahmad, “Short question-answers assessment using lexical and semantic similarity-based features”, Journal of Discrete Mathematical Sciences and Cryptography, vol. 25(7),, pp. 2057–2067 (2022).
[2] A. Pereira, A. Trifan, R. Lopes and J. Oliveira, “Systematic review of question answering over knowledge bases”, IET Software, vol. 16(1), pp. 1-13 (2022).
[3] Z. H. Amur, Y. Kwang Hooi, H. Bhanbhro, K. Dahri, and G. M. Soomro, “Short-Text Semantic Similarity (STSS): Techniques, Challenges and Future Perspectives”, Applied Sciences, vol. 13(6), pp. 3911 (2023).
[4] P. Rathee, and S. K. Malik, “IWD towards Semantic similarity measure in ontology”, Journal of Information and Optimization Sciences, vol. 41(7), pp. 1561–1577 (2020).
[5] P. Rathee, and S. K. Malik, “Ontology concept semantic similarity matching based on Ant Colony Optimization algorithm”, Journal of Information and Optimization Sciences, vol. 42(8), pp. 1987–2000 (2021).
[6] P. J. Worth, “Word embeddings and semantic spaces in natural language processing”, International Journal of Intelligence Science, vol. 13(1), pp. 1-21 (2023).
[7] M. Bilal, and A. A. Almazroi, A. A., “Effectiveness of fine-tuned BERT model in classification of helpful and unhelpful online customer reviews”, Electronic Commerce Research, vol. 23(4), pp. 2737-2757 (2023).
[8] C. Antoniou and N. Bassiliades, “A survey on semantic question answering systems”, The Knowledge Engineering Review, vol. 37, pp. 1-42 (2022).
[9] F. Yin, Y. Wang, J. Liu, and L. Lin, “The construction of sentiment lexicon based on context-dependent part-of-speech chunks for semantic disambiguation”, IEEE Access, vol. 8, pp. 63359-63367 (2020).
[10] M. Wray, H. Doughty, and D. Damen, “On semantic similarity in video retrieval”, In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 3650-3660 (2021).
[11] I. Vulić, S. Baker, E. M. Ponti, U. Petti, I. Leviant, K. Wing, O. Majewska, E. Bar, M. Malone, T. Poibeau, and R. Reichart, “Multi-simlex: A large-scale evaluation of multilingual and crosslingual lexical semantic similarity”, Computational Linguistics, vol. 46(4), pp. 847-897 (2020).
[12] F. S. Lievers, M. Bolognesi, and B. Winter, “The linguistic dimensions of concrete and abstract concepts: lexical category, morphological structure, countability, and etymology”, Cognitive Linguistics, vol. 32(4), pp. 641-670 (2021).
[13] T. Rustamov, X. M. Jumanazarov, U. Almatova, Z. X. Mamaziyayev, and Z. A. Alibekova, “Classification symbols of words”, Asian Journal of Research in Social Sciences and Humanities, vol. 12(2), pp. 213-219 (2022).
[14] S. Xu, S. Semnani, G. Campagna, and M. Lam, “AutoQA: From databases to QA semantic parsers with only synthetic training data”, In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020).
[15] J. Reilly, A. M. Finley, C. P. Litovsky, and Y. N. Kenett, “Bigram semantic distance as an index of continuous semantic flow in natural language: Theory, tools, and applications”, Journal of Experimental Psychology: General, vol. 152(9), pp. 2578 (2023).
[16] K. Yalcin, I. Cicekli, and G. Ercan, “An external plagiarism detection system based on part-of-speech (POS) tag n-grams and word embedding”, Expert Systems with Applications, vol. 197, pp. 116677 (2022).
[17] X. Zhao, H. Zhang, and Y. Song, “PCR4ALL: A Comprehensive Evaluation Benchmark for Pronoun Coreference Resolution in English”, In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pp. 5963-5973 (2022).
[18] R. Liu, R. Mao, A. T. Luu, and E. Cambria, “A brief survey on recent advances in coreference resolution”, Artificial Intelligence Review, vol. 56(12), pp. 14439-14481 (2023).
[19] OpenAI. (2023). ChatGPT (Feb 13 version) [Large language model]. https://chat.openai.com/chat.
[20] F. Mahdisoltani, J. Biega, and F. M. Suchanek, “Yago3: A knowledge base from multilingual wikipedias”, In CIDR (2013).




