Abstract
More and more people resort to the web for searching and sharing information about their health using search engines and forums. These tools have many drawbacks such as: the lack of concise answers, difficulties of presentation of the complex needs of information…In this paper, we look at a new way of delivering information to the users via coherent conversations. After completing a comparative study on recent question answering (QA) systems, the major motivation is to find a solution to address their weaknesses. The solution that we propose is a QA system which takes into account the context of research and allows interaction with the user to understand its purpose, by using different types of data sources.
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References
Allan, J.: Challenges in information retrieval and language modeling. Workshop held at the Center for Intelligent Information Retrieval, University of Massachusetts, Amherst (2002)
Plamondon, L.: Le système de question-réponse Quantum. Mémoire de maîtrise, université de Montréal, Canada (2002)
Chu-Carroll, J., Czuba, K., Prager, J., Blair-Goldensohn, S., Ittycheriah, A.: IBM’s PIQUANT II in TREC 2004. IBM T.J. Watson Research Center and Columbia University (2004)
Merdaoui, B.; Frasson, C.: QUERI: Un système de question-réponse collaboratif et interactif. Département d’informatique et de recherche opérationnelle, université de Montréal, Canada (2004)
Ferrucci, D.A.: Introduction to this is Watson. IBM Journal of Research and Development. IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, NY, USA (2012)
Jebbor, F.; Benhlima L.: Overview of knowledge extraction techniques in five question-answering systems. In: 9th International Conference on Intelligent Systems: Theories and Applications (SITA-14), IEEE, pp. 1–8 (2014)
Sherzod, H., Hakan, T., Marlen, A., Erdogan, D.: Semantic question answering system over linked data using relational patterns. TOBB University of Economics and Technology, Ankara (2013)
Toutanova, K., Klein, D., Manning, C.D., Singer, Y.: Feature-rich part-of-speech tagging with a cyclic dependency network. In: Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology, vol. 1, pp. 173–180 (2003)
Kalyanpur, A., Boguraev, B.K., Patwardhan, S., Murdock, J.W., Lally, A., Welty, C., Prager, J.M., Coppola, B., Fokoue-Nkoutche, A., Zhang, L., Pan, Y., Qiu, Z.M.: Structured data and inference in DeepQA. IBM J. Res. Dev. 56(3/4), (Paper 10) (2012)
Bloom’s Taxonomy. Available online: http://www.cbv.ns.ca/sstudies/links/learn/1414.html. Accessed 17 Apr 2015
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Jebbor, F., Benhlima, L. (2016). Towards a Conversational Question Answering System. In: El Oualkadi, A., Choubani, F., El Moussati, A. (eds) Proceedings of the Mediterranean Conference on Information & Communication Technologies 2015. Lecture Notes in Electrical Engineering, vol 380. Springer, Cham. https://doi.org/10.1007/978-3-319-30301-7_32
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DOI: https://doi.org/10.1007/978-3-319-30301-7_32
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