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Preliminary Multi-lingual Evaluation of a Question Answering System Based on the Node of Knowledge Method

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Advances in Information and Communication (FICC 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 69))

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Abstract

The Node of Knowledge (NOK) method is a method for knowledge representation. It is used as a basis for development of formalism for textual knowledge representation (FNOK). FNOK was used for development of a Question Answering (QA) System whose research results are presented in this paper. The QA system is based on storing text in relational databases without losing semantics and it is implemented in Oracle. In this paper, we present the results of preliminary evaluation of the QA system for its independency on the language used. The system was tested using the same set of sentences and questions translated in English, German, Italian and Croatian language. Knowledge in the system was based on 26 simple sentences. 44 questions were set, and the system offered 62 answers for each language (some questions had more than one answer). Research results have shown that this QA system can be used for any of the four languages without the need to change functions and algorithms. It is only necessary to set the dictionary data for each language, implement synonyms and recognize different word forms.

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References

  1. Andrenucci, A., Sneiders, E.: Automated question answering: review of the main approaches. In: Third International Conference on Information Technology and Applications (ICITA 2005), vol. 1, pp. 514-519. IEEE, Sydney (2005)

    Google Scholar 

  2. Kwok, C., Etzioni, O., Weld, D.S.: Scaling question answering to the web. CM Trans. Inf. Syst. (TOIS) 19(3), 242–262 (2001)

    Article  Google Scholar 

  3. Hirschman, L., Gaizauskas, R.: Natural language question answering: the view from here. Nat. Lang. Eng. 7, 275–300 (2001)

    Article  Google Scholar 

  4. Molla, D., Vicedo, J.L.: Question answering in restricted domains: an overview. Special section on restricted-domain question answering. Comput. Linguist. 33(1), 41–61 (2007)

    Article  Google Scholar 

  5. Ferrández, S., Toral, A., Ferrández, Ó., Ferrández, A., Muñoz, R.: Applying Wikipedia’s multilingual knowledge to Cross–Lingual question answering. In: Kedad, Z., Lammari, N., Métais, E., Meziane, F., Rezgui, Y. (eds.) Natural Language Processing and Information Systems. NLDB 2007. Lecture Notes in Computer Science, vol. 4592, pp. 352–363. Springer, Heidelberg (2007)

    Google Scholar 

  6. Damiano, E., Spinelli, R., Esposito, M., De Pietro, G.: Towards a framework for closed-domain question answering in Italian. In: 12th International Conference on Signal-Image Technology & Internet-Based Systems, pp. 604–611 (2016)

    Google Scholar 

  7. Berry, C., Meijer, A. M., Repp, S., Krifka, M.: Puzzling response particles: An experimental study on the German answering system. Semant. Pragmat. 10, Article no. 19 (2017)

    Google Scholar 

  8. Li, T., Hao, Y., Zhu, X., Zhang, X.: A chinese question answering system for specific domain. In: Li, F., Li, G., Hwang, S., Yao, B., Zhang, Z. (eds.) Web-Age Information Management. WAIM 2014. Lecture Notes in Computer Science, vol. 8485, pp. 590–601. Springer (2014)

    Google Scholar 

  9. Devi, R., Dua, M.: Performance evaluation of different similarity functions and classification methods using web based hindi language question answering system. Procedia Comput. Sci. 92, 520–525 (2016)

    Article  Google Scholar 

  10. Ray, S.K., Shaalan, K.: A review and future perspectives of arabic question answering systems. IEEE Trans. Knowl. Data Eng. 28(12), 3169–3190 (2016)

    Article  Google Scholar 

  11. Zheng, Z.: AnswerBus question answering system. In: Proceedings of the second international conference on Human Language Technology Research (HLT 2002), pp. 399–404. Morgan Kaufmann Publishers Inc., San Francisco (2002)

    Google Scholar 

  12. Strötgen, R., Mandl, T., Schneider, R.: A fast forward approach to cross-lingual question answering for English and German. In: Peters, C., et al. (eds.) Accessing Multilingual Information Repositories. CLEF 2005. Lecture Notes in Computer Science, vol 4022, pp. 332–336. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  13. Ferrández, S., Ferrández, A.: Cross-Lingual question answering using inter lingual index module of EuroWordNet. Adv. Nat. Lang. Process. Res. Comput. Sci. 18, 177–182 (2006)

    Google Scholar 

  14. Peñas, A., Magnini, B., Forner, P., Sutcliffe, R., Rodrigo, Á., Giampiccolo, D.: Question answering at the cross-language evaluation forum 2003–2010. Lang. Resour. Eval. 46(2), 177–217 (2012)

    Article  Google Scholar 

  15. Jakupovic, A., Pavlic, M., Mestrovic, A., Jovanovic, V.: Comparison of the nodes of knowledge method with other graphical methods for knowledge representation. In: Proceedings of the 36th International Convention CIS MIPRO, pp. 1276–1280. IEEE, Opatija (2013)

    Google Scholar 

  16. Pavlic, M., Jakupovic, A., Mestrovic, A.: Nodes of knowledge method for knowledge representation. Informatologia 46, 206–214 (2013)

    Google Scholar 

  17. Jakupovic, A., Pavlic, M., Dovedan Han, Z.: Formalisation method for the text expressed knowledge. Expert Syst. Appl. 41, 5308–5322 (2014)

    Article  Google Scholar 

  18. Pavlic, M., Dovedan Han, Z., Jakupovic, A.: Question answering with a conceptual framework for knowledge-based system development ‘Node of Knowledge’. Expert Syst. Appl. 42, 5264–5286 (2015)

    Article  Google Scholar 

  19. Pavlic, M., Dovedan Han, Z., Jakupovic, A., Asenbrener Katic, M., Candrlic, S.: Adjective representation with the method Nodes of Knowledge. In: Proceedings of 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp. 1221–1226. IEEE, Opatija (2017)

    Google Scholar 

  20. Asenbrener Katic, M., Candrlic, S., Pavlic, M.: Modeling of verbs using the node of knowledge conceptual framework. In: Proceedings of 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp. 1192–1197. IEEE, Opatija (2018)

    Google Scholar 

  21. Pavlic, M., Mestrovic, A., Jakupovic, A.: Graph-based formalisms for knowledge representation. In: Proceedings of the 17th World Multi-Conference on Systemic Cybernetics and Informatics WMSCI, pp. 200–204 (2013)

    Google Scholar 

  22. Asenbrener Katic, M., Candrlic, S., Pavlic, M.: Comparison of two versions of formalization method for text expressed knowledge. In: Beyond Databases, Architectures and Structures (BDAS), Towards Efficient Solutions for Data Analysis and Knowledge Representation, Communications in Computer and Information Science, vol. 716, pp. 55–66. Springer, Heidelberg (2017)

    Google Scholar 

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Acknowledgment

The research has been conducted under the projects “Extending the information system development methodology with artificial intelligence methods” (reference number 13.13.1.2.01.) and “Development of a QA system on a relational database” (reference number 17.14.2.2.03) supported by University of Rijeka (Croatia).

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Authors and Affiliations

  1. Department of Informatics, University of Rijeka, Rijeka, Croatia

    Sanja Candrlic & Martina Asenbrener Katic

  2. Polytechnic of Rijeka, Rijeka, Croatia

    Alen Jakupovic

Authors
  1. Sanja Candrlic
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  2. Martina Asenbrener Katic
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  3. Alen Jakupovic
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Correspondence to Sanja Candrlic .

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Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, UK

    Rahul Bhatia

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Candrlic, S., Asenbrener Katic, M., Jakupovic, A. (2020). Preliminary Multi-lingual Evaluation of a Question Answering System Based on the Node of Knowledge Method. In: Arai, K., Bhatia, R. (eds) Advances in Information and Communication. FICC 2019. Lecture Notes in Networks and Systems, vol 69. Springer, Cham. https://doi.org/10.1007/978-3-030-12388-8_69

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