MSoMT: AN EFFICIENT APPROACH FOR MEASURING SEMANTIC SIMILARITY BETWEEN MEDICAL TERMINOLOGIES
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Tài liệu tham khảo
[1] Tversky, A.: Features of similarity. Psychol. Rev. 84(4), 327–352 (1977)
[2] Zhang, B., Zhu, J., Su, H.: Toward the third generation artificial intelligence. Sci. China Inf. Sci. 66(2), 121101 (2023)
[3] Ahmed, I., Jeon, G., Piccialli, F.: From artificial intelligence to explainable artificial intelligence in industry 4.0: a survey on what, how, and where. IEEE Trans. Industr. Inf. 18(8), 5031–5042 (2022)
[4] Benarab, A., Sun, J., Rafique, F., Refoufi, A.: Global ontology entities embeddings. IEEE Trans. Knowl. Data Eng. 35(11), 11-449–11-460 (2023)
[5] Liu, P., Yuan, W., Fu, J., Jiang, Z., Hayashi, H., Neubig, G.: Pre-train, prompt, and predict: a systematic survey of prompting methods in natural language processing. ACM Comput. Surv. 55(9), 1–35 (2023)
[6] Rai, N., Lian, X.: Top-$$k$$ community similarity search over large-scale road networks. IEEE Trans. Knowl. Data Eng. 35(10), 10-710–10-721 (2023)
[7] Gao, M., Li, J.-Y., Chen, C.-H., Li, Y., Zhang, J., Zhan, Z.-H.: Enhanced multi-task learning and knowledge graph-based recommender system. IEEE Trans. Knowl. Data Eng. 35(10), 10-281–10-294 (2023)
[8] Zhong, Q., Ding, L., Liu, J., Du, B., Jin, H., Tao, D.: Knowledge graph augmented network towards multiview representation learning for aspect-based sentiment analysis. IEEE Trans. Knowl. Data Eng. 35(10) 10-98–10-111 (2023)
[9] Lofi, C.: Measuring semantic similarity and relatedness with distributional and knowledge-based approaches. Inf. Media Technol., 493–501 (2015)
[10] Zhang, X., Sun, S., Zhang, K.: A new hypred improved method for measuring concept semantic similarity in wordnet. Int. Arab J. Inf. Technol. 17, 433–439 (2020)
[11] Rada, R., Mili, H., Bicknell, E., Blettner, M.: Development and application of a metric on semantic nets. IEEE Trans. Syst. Man Cybern. 19(1), 17–30 (1989)
[12] Fellbaum, C., Ed.: WordNet: An Electronic Lexical Database, p. 423. The MIT Press, Massachusetts (1998)
[13] Wu, Z., Palmer, M.: Verbs semantics and lexical selection. In: Proceedings of the 32nd Annual Meeting on Association for Computational Linguistics. Morristown, NJ, USA: Association for Computational Linguistics, pp. 133–138 (1994)
[14] Resnik, P.: Using information content to evaluate semantic similarity in a taxonomy. In: IJCAI’95: Proceedings of the 14th International Joint Conference on Artificial Intelligence. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc., pp. 448–453 (1995)
[15] Lin, D.: An Information-Theoretic Definition of Similarity. In: ICML. Morgan Kaufmann, pp. 296–304 (1998)
[16] Jiang, J.J., Conrath, D.W.: Semantic similarity based on corpus statistics and lexical taxonomy. In: International Conference Research on Computational Linguistics (1997)
[17] Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Burges, C., Bottou, L., Welling, M., Ghahramani, Z., Weinberger, K., Eds. Advances in Neural Information Processing Systems, vol. 26, pp. 3111–3119 (2013)
[18] Dubois, D.J.: Fuzzy Sets and Systems: Theory and Applications. Academic Press, vol. 144 (1980)
[19] Leviant, I., Reichart, R.: Separated by an un-common language: towards judgment language informed vector space modeling (2015)
[20] Hill, F., Reichart, R., Korhonen, A.: SimLex-999: evaluating semantic models with (genuine) similarity estimation. Comput. Linguist. (2015)