Semantics Question Analysis Model for Question Answering System
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| collectionurl | https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 |
| date | 2024-08-27 00:02:56 |
| format | Restricted Document |
| id | 12517 |
| institution | UniSZA |
| internalnotes | [1] A.M. Popescu, O. Etzioni, & H. Kautz, Towards A Theory of Natural Language Interfaces to Databases, International Conference on Intelligent User Interfaces, (2003), 149-157. http://dx.doi.org/10.1145/604045.604070 [2] A. Turing, Computing Machinery and Intelligence, Mind, LIX (1950), no. 236, 433 – 460. http://dx.doi.org/10.1093/mind/lix.236.433 [3] C.N. Mooers, Zatocoding Applied to Mechanical Organization of Knowledge, American Documentation, 2 (1951), no. 1, 20-32. http://dx.doi.org/10.1002/asi.5090020107 [4] C. Wang, M. Xiong, Q. Zhou, & Y. Yu, PANTO: A Portable Natural Language Interface to Ontologies, European Semantics Web Conference (ESWC'07), 4519 (2007), 473-487. http://dx.doi.org/10.1007/978-3-540-72667-8_34 [5] D. Damljanovic, M. Agatonovic, & H. Cunningham, Natural language interface to ontologies: Combining syntactic analysis and ontology-based lookup through the user interaction, Proceedings ESWC-2010, Part I, LNCS, 6088 (2010), 106-120. http://dx.doi.org/10.1007/978-3-642-13486-9_8 [6] D. Damljanovic, M. Agatonovic, and H. Cunningham, FREyA: an Interactive Way of Querying Linked Data Using Natural Language, Proceedings of the European Semantic Web Conference, (2012), 125-138. http://dx.doi.org/10.1007/978-3-642-25953-1_11 [7] D. Mollá-Aliod, & J. Vicedo, Question answering, Indurkhya and Damerau (eds) Handbook of Natural Language Processing, (2010), 485-510. [8] D. Moldovan, S. Harabagiu, R. Girju, P. Morarescu, F. Lacatusu, A. Novischi, et al., LCC Tools for Question Answering, Proceedings of TREC, (2002). [9] E.M. Voorhees, The TREC question answering track, Natural Language Engineering, 7 (2001), no. 4, 361-378. http://dx.doi.org/10.1017/s1351324901002789 [10] J. Heflin, OWL Web Ontology Language Use Cases and Requirements, (2004). http://www.w3.org/TR/2004/REC-webont-req-20040210/ [11] MooneyData, Retrieved from. http://www.cs.utexas.edu/~ml/nldata/geoquery.html [12] O. Fernandez, R. Izquierdo, S. Ferrandez, and J.L. Vicedo, Addressing Ontology-based question answering with collections of user queries, Journal of Information Processing and Management, 45 (2009), no. 2, 175-188. http://dx.doi.org/10.1016/j.ipm.2008.09.001 [13] P. Atzeni, R. Basili, D. H. Hansen, P. Missie, P. Paggio, M.T. Pazienza, et al., Ontology-based Question Answering in a Federation of University Sites: The MOSES Case Study, 9th International Conference on Applications of Natural Language to Information Systems (NLDB '04), Manchester (United Kingdom), Lecture Notes in Computer Science, 3136 (2004), 413-420. http://dx.doi.org/10.1007/978-3-540-27779-8_40 [14] Q. Guo, & M. Zhang, Question Answering System Based on Ontology and Semantic Web, Third International Conference of Rough Set and Knowledge Technology 2008, Chengdu, China, 5009 (2008), 652-659. http://dx.doi.org/10.1007/978-3-540-79721-0_87 [15] R. Baeza-Yates, & B. Ribeiro, Modern Information Retrieval, Harlow: Addison-Wesley (1999). [16] R. Iqbal, M.A.A. Murad, M.H. Selamat, & A. Azman, Negation Query Handling Engine For Natural Language Interfaces to Ontologies, International Conference on Information Retrieval and Knowledge Management (CAMP '12), (2012), 249-253. http://dx.doi.org/10.1109/infrkm.2012.6204983 [17] S. Harabagiu, D. Moldovan, C. Clark, M. Bowden, A. Hickl, P. Wang, Employing Two Question Answering Systems in TREC-2005, Proceedings of the Fourteenth Text REtrieval Conference, (2005). [18] S. I. A Saany, A. Mamat, A. Mustapha, L. S. Affendey, A Strategy for Question Interpretation in Question Answering System, International Journal of Computer Science and Telecommunications, 4 (2013), no. 5, 38-43. [19] S.I.A. Saany, A. Mamat, A. Mustapha, L.S. Affendey, Incorporating User Modeling and Relevance Feedback in Question Analysis Model, Proc. in 2nd 2013 IEEE Conference on Control, Systems and Industrial Informatics (ICCSII), Bandung, Indonesia, (2013), 113- 118. [20] T. Strzalkowski, J.P. Carballo, J. Karlgren, A. Hulth, P. Tapanainen, & T. Lahtinen, Natural Language Information Retrieval: TREC-8 Report, In TREC, (1999). [21] V. Lopez, V. Uren, E. Motta, & M. Pasin. AquaLog: An Ontology-driven Question Answering System for Organizational Semantic Intranets, Journal of Web Semantics, 5 (2007), no. 2, 72-105. http://dx.doi.org/10.1016/j.websem.2007.03.003 [22] V. Tablan, D. Damljanovic, & K. Bontcheva, A Natural Language Query Interface to Structured Information, European Semantic Web Conference (ESWC 2008), 5021 (2008), 361-375. http://dx.doi.org/10.1007/978-3-540-68234-9_28 [23] W. Wahlster, & A. Kobsa, User Models in Dialog Systems, Heidelberg: Springer, (1989). http://dx.doi.org/10.1007/978-3-642-83230-7 [24] X. Li, & D. Roth, Learning Question Classifiers, Proceedings of the 19th International Conference on Computational Linguistics - Volume 1 (COLING '02), Association for Computational Linguistics, Stroudsburg, PA, USA, 1 (2002), 1-7. http://dx.doi.org/10.3115/1072228.1072378 |
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| spelling | 12517 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=12517 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Article Journal application/pdf Adobe Acrobat Pro DC 20 Paper Capture Plug-in with ClearScan 16 1.6 User user USER UsEr 2024-08-27 00:02:56 6824-01-FH02-FIK-15-04167.pdf UniSZA Private Access Semantics Question Analysis Model for Question Answering System Applied Mathematical Sciences Question Answering (QA) system takes Natural Language (NL) questions and output the exact answer extracted from Knowledge Base (KB). Handling NL question requires semantic analysis and interpretation to obtain the potential relevant answers from the KB. Providing users with the most relevant answers to their questions is an issue. Many answers returned are not relevant to the questions. The purpose of this paper is to present a semantic question analysis model for question answering system that correctly interpret the user’s question in order to yield correct answers. The Semantic Question Analysis Model exploits the approach of User Modelling and Relevance Feedback. To measure the ability of Semantic Question Analysis Model in analysing and translating user NL question, the model is implemented in an ontology-based question answering system (known as QAUF). Comparison of the results is done to determine the success of the proposed model with the existing QA systems, AquaLog and FREyA. The Semantic Question Analysis Model in QAUF shows a relatively increased in the QAUF F-measure. The finding of this study demonstrates that QAUF has a good precision percentage in returning relevant answers for each NL question. 9 130 Hikari Ltd. Hikari Ltd. 6491-6505 [1] A.M. Popescu, O. Etzioni, & H. Kautz, Towards A Theory of Natural Language Interfaces to Databases, International Conference on Intelligent User Interfaces, (2003), 149-157. http://dx.doi.org/10.1145/604045.604070 [2] A. Turing, Computing Machinery and Intelligence, Mind, LIX (1950), no. 236, 433 – 460. http://dx.doi.org/10.1093/mind/lix.236.433 [3] C.N. Mooers, Zatocoding Applied to Mechanical Organization of Knowledge, American Documentation, 2 (1951), no. 1, 20-32. http://dx.doi.org/10.1002/asi.5090020107 [4] C. Wang, M. Xiong, Q. Zhou, & Y. Yu, PANTO: A Portable Natural Language Interface to Ontologies, European Semantics Web Conference (ESWC'07), 4519 (2007), 473-487. http://dx.doi.org/10.1007/978-3-540-72667-8_34 [5] D. Damljanovic, M. Agatonovic, & H. Cunningham, Natural language interface to ontologies: Combining syntactic analysis and ontology-based lookup through the user interaction, Proceedings ESWC-2010, Part I, LNCS, 6088 (2010), 106-120. http://dx.doi.org/10.1007/978-3-642-13486-9_8 [6] D. Damljanovic, M. Agatonovic, and H. Cunningham, FREyA: an Interactive Way of Querying Linked Data Using Natural Language, Proceedings of the European Semantic Web Conference, (2012), 125-138. http://dx.doi.org/10.1007/978-3-642-25953-1_11 [7] D. Mollá-Aliod, & J. Vicedo, Question answering, Indurkhya and Damerau (eds) Handbook of Natural Language Processing, (2010), 485-510. [8] D. Moldovan, S. Harabagiu, R. Girju, P. Morarescu, F. Lacatusu, A. Novischi, et al., LCC Tools for Question Answering, Proceedings of TREC, (2002). [9] E.M. Voorhees, The TREC question answering track, Natural Language Engineering, 7 (2001), no. 4, 361-378. http://dx.doi.org/10.1017/s1351324901002789 [10] J. Heflin, OWL Web Ontology Language Use Cases and Requirements, (2004). http://www.w3.org/TR/2004/REC-webont-req-20040210/ [11] MooneyData, Retrieved from. http://www.cs.utexas.edu/~ml/nldata/geoquery.html [12] O. Fernandez, R. Izquierdo, S. Ferrandez, and J.L. Vicedo, Addressing Ontology-based question answering with collections of user queries, Journal of Information Processing and Management, 45 (2009), no. 2, 175-188. http://dx.doi.org/10.1016/j.ipm.2008.09.001 [13] P. Atzeni, R. Basili, D. H. Hansen, P. Missie, P. Paggio, M.T. Pazienza, et al., Ontology-based Question Answering in a Federation of University Sites: The MOSES Case Study, 9th International Conference on Applications of Natural Language to Information Systems (NLDB '04), Manchester (United Kingdom), Lecture Notes in Computer Science, 3136 (2004), 413-420. http://dx.doi.org/10.1007/978-3-540-27779-8_40 [14] Q. Guo, & M. Zhang, Question Answering System Based on Ontology and Semantic Web, Third International Conference of Rough Set and Knowledge Technology 2008, Chengdu, China, 5009 (2008), 652-659. http://dx.doi.org/10.1007/978-3-540-79721-0_87 [15] R. Baeza-Yates, & B. Ribeiro, Modern Information Retrieval, Harlow: Addison-Wesley (1999). [16] R. Iqbal, M.A.A. Murad, M.H. Selamat, & A. Azman, Negation Query Handling Engine For Natural Language Interfaces to Ontologies, International Conference on Information Retrieval and Knowledge Management (CAMP '12), (2012), 249-253. http://dx.doi.org/10.1109/infrkm.2012.6204983 [17] S. Harabagiu, D. Moldovan, C. Clark, M. Bowden, A. Hickl, P. Wang, Employing Two Question Answering Systems in TREC-2005, Proceedings of the Fourteenth Text REtrieval Conference, (2005). [18] S. I. A Saany, A. Mamat, A. Mustapha, L. S. Affendey, A Strategy for Question Interpretation in Question Answering System, International Journal of Computer Science and Telecommunications, 4 (2013), no. 5, 38-43. [19] S.I.A. Saany, A. Mamat, A. Mustapha, L.S. Affendey, Incorporating User Modeling and Relevance Feedback in Question Analysis Model, Proc. in 2nd 2013 IEEE Conference on Control, Systems and Industrial Informatics (ICCSII), Bandung, Indonesia, (2013), 113- 118. [20] T. Strzalkowski, J.P. Carballo, J. Karlgren, A. Hulth, P. Tapanainen, & T. Lahtinen, Natural Language Information Retrieval: TREC-8 Report, In TREC, (1999). [21] V. Lopez, V. Uren, E. Motta, & M. Pasin. AquaLog: An Ontology-driven Question Answering System for Organizational Semantic Intranets, Journal of Web Semantics, 5 (2007), no. 2, 72-105. http://dx.doi.org/10.1016/j.websem.2007.03.003 [22] V. Tablan, D. Damljanovic, & K. Bontcheva, A Natural Language Query Interface to Structured Information, European Semantic Web Conference (ESWC 2008), 5021 (2008), 361-375. http://dx.doi.org/10.1007/978-3-540-68234-9_28 [23] W. Wahlster, & A. Kobsa, User Models in Dialog Systems, Heidelberg: Springer, (1989). http://dx.doi.org/10.1007/978-3-642-83230-7 [24] X. Li, & D. Roth, Learning Question Classifiers, Proceedings of the 19th International Conference on Computational Linguistics - Volume 1 (COLING '02), Association for Computational Linguistics, Stroudsburg, PA, USA, 1 (2002), 1-7. http://dx.doi.org/10.3115/1072228.1072378 |
| spellingShingle | Semantics Question Analysis Model for Question Answering System |
| summary | Question Answering (QA) system takes Natural Language (NL) questions and output the exact answer extracted from Knowledge Base (KB). Handling NL question requires semantic analysis and interpretation to obtain the potential relevant answers from the KB. Providing users with the most relevant answers to their questions is an issue. Many answers returned are not relevant to the questions. The purpose of this paper is to present a semantic question analysis model for question answering system that correctly interpret the user’s question in order to yield correct answers. The Semantic Question Analysis Model exploits the approach of User Modelling and Relevance Feedback. To measure the ability of Semantic Question Analysis Model in analysing and translating user NL question, the model is implemented in an ontology-based question answering system (known as QAUF). Comparison of the results is done to determine the success of the proposed model with the existing QA systems, AquaLog and FREyA. The Semantic Question Analysis Model in QAUF shows a relatively increased in the QAUF F-measure. The finding of this study demonstrates that QAUF has a good precision percentage in returning relevant answers for each NL question. |
| title | Semantics Question Analysis Model for Question Answering System |
| title_full | Semantics Question Analysis Model for Question Answering System |
| title_fullStr | Semantics Question Analysis Model for Question Answering System |
| title_full_unstemmed | Semantics Question Analysis Model for Question Answering System |
| title_short | Semantics Question Analysis Model for Question Answering System |
| title_sort | semantics question analysis model for question answering system |