Abstract
Revising the solution is one step in the cycle of Case-Based Reasoning (CBR). Revising the process is a task to make any improvements to a solution that cannot be reused by a question and answer system. This paper presents a new scheme to improve the solution in question-answer system using the dependency approach between words or phrases. The results of the repair cases should be initially tested to ensure that the obtained solution has met the criteria of a problem. The testing process will be conducted using the search dependency structure of the solution. By using the data of 135 Indonesian sentence English-premises solution in the form of a sentence, the scheme is built to produce an accuracy of 80,74%.
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References
Aamodt: cased-based reasoning: foundation issues. In: AICOM, pp. 39–597 (1994)
Acevedo, P.R., Martinez, J.J.F.: Case-based reasoning and system identification for control engineering learning. IEEE Trans. Educ. 51(2), 271–281 (2008)
Shimazu, H., Shibata, A., Nihei, K.: Expert guide a conversational case-based reasoning tool for developing mentors in knowledge spaces. Appl. Intell. 14(1), 33–48 (2001)
Salem, A.-B.M., El Bagoury, B.M.: A case-based adaptation model for thyroid cancer diagnosis using neural networks. In: Proceedings of the Sixteenth International FLAIRS Conference, pp. 155–159. AAAI Press (2003)
Euzenat, J., Valtchev, P.: Similarity-based ontology alignment in OWL-lite. In: de Mantaras and Saitta, pp. 333–337 (2004)
Pavel, S.: Ontology matching: state of the art and future challenges. IEEE Trans. Knowl. Data Eng. 25(1), 158–176 (2013)
Chatterji, S., Sarkar, T.M., Dhang, P., Deb, S., Sarkar, S., Chakraborty, J., Basu, A.: A dependency annotation scheme for Bangla Treebank. Lang. Resour. Eval. 48(3), 443–477 (2014). Springer, Netherland
Irmawati, B., Shindo, H., Matsumoto, Y.: A Dependency annotation scheme for Indonesian, the association for natural language processing, pp: 740–743 (2015)
Punyakanok, V., Roth, D., Yih, W.: The necessity of syntactic parsing for semantic role labeling. In: Proceedings of CoNLL, pp. 1117–1123 (2004)
Palmer, M., Gildea, D., Kingsbury, P.: The proposition bank: an annotated corpus of semantic roles. Comput. Linguist. 31(1), 71–106 (2005)
Liu, H., Che, W., Liu, T.: Feature engineering for Chinese semantic role labeling. J. Chin. Inf. Process. 21(1), 79–84 (2007)
Bi, Y., Chen, J.: A study on semantic role labeling of Korean sentence. In: International Conference on Asian Languages Processing, pp. 102–107 (2009)
Gildea, D., Lurafsky, D.: Automatic labeling of semantic roles. Comput. Linguist 28(3), 245–288 (2002)
Zhang, M., Che, W., Zhou, G., Aw, A., Tan, C.L., Liu, T., Li, S.: Semantic role labeling using a grammar-driven convolution tree kernel. IEEE Trans. Audio Speech Lang. Process. 16(7), 1315–1329 (2008)
de Marneffe, M.-C., Manning, C.D.: The Stanford typed dependencies representation (2008). http://nlp.stanford.edu/pubs/dependencies-coling08.pdf
Levy, R., Manning, C.D.: Deep dependencies from context-free statistical parsers: correcting the surface dependency approximation. ACL 42, 328–335 (2004)
Zouaq, A., Gagnon, M., Ozell, B.: Semantic analysis using dependency-based grammars and upper-level ontologies. Int. J. Comput. Linguist. Appl. 1(1–2), 234–240 (2010)
Boufrida, A., Boufaida, Z.: Automatic rules extraction from medical texts. In: International Workshop on Advanced Information Systems for Enterprises (IWAISE), pp. 29–33 (2014)
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We would also thank the anonymous reviewers for their detailed comments, which have helped us to improve the quality of this work.
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Suwarningsih, W., Purwarianti, A., Supriana, I. (2017). Dependency Scheme for Revise and Reasoning Solution. In: Herawan, T., Ghazali, R., Nawi, N.M., Deris, M.M. (eds) Recent Advances on Soft Computing and Data Mining. SCDM 2016. Advances in Intelligent Systems and Computing, vol 549. Springer, Cham. https://doi.org/10.1007/978-3-319-51281-5_30
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DOI: https://doi.org/10.1007/978-3-319-51281-5_30
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