Eve: An Automated Question Answering System for Events Information


  • Ivan Christanno Bina Nusantara University
  • Priscilla Priscilla Bina Nusantara University
  • Jody Johansyah Maulana Bina Nusantara University
  • Derwin Suhartono Bina Nusantara University
  • Rini Wongso Bina Nusantara University




closed domain, question answering system, event information


The objective of this research was to create a closed-domain of automated question answering system specifically for events called Eve. Automated Question Answering System (QAS) is a system that accepts question input in the form of natural language. The question will be processed through modules to finally return the most appropriate answer to the corresponding question instead of returning a full document as an output. The
scope of the events was those which were organized by Students Association of Computer Science (HIMTI) in Bina Nusantara University. It consisted of 3 main modules namely query processing, information retrieval, and information extraction. Meanwhile, the approaches used in this system included question classification, document indexing, named entity recognition and others. For the results, the system can answer 63 questions for word matching technique, and 32 questions for word similarity technique out of 94 questions correctly.

Plum Analytics

Author Biographies

Ivan Christanno, Bina Nusantara University

Computer Science Department, School of Computer Science

Priscilla Priscilla, Bina Nusantara University

Computer Science Department, School of Computer Science

Jody Johansyah Maulana, Bina Nusantara University

Computer Science Department, School of Computer Science

Derwin Suhartono, Bina Nusantara University

Computer Science Department, School of Computer Science

Rini Wongso, Bina Nusantara University

Computer Science Department, School of Computer Science


Bhatia, P., Madaan, R., Sharma, A. K., & Dixit, A. (2015).

A comparison study of question answering systems. Journal of Network Communications and Emerging Technologies, 5(2), 192-198

Buscaldi, D., Rosso, P., Gómez-Soriano, J. M., & Sanchis, E. (2010). Answering questions with an n-gram based passage retrieval engine. Journal of Intelligent Information Systems, 34(2), 113-134.

Craswell, N. (2009). Encyclopedia of database systems: Mean Reciprocal Rank. US: Springer.

Hartawan, A., & Suhartono, D. (2015). Using Vector Space

Model in Question Answering System. Procedia Computer Science, 59, 305-311.

Islam, A., Milios, E., & Kešelj, V. (2012). Comparing word relatedness measures based on Google n-grams. Proceedings of COLING 2012: Posters, 495–506.

Jurafsky, D., & Martin, J. H. (2008). Speech and language

processing. Englewood Cliffs: Prentice Hall

Kaur, H., & Rimpi. (2013). A review on novel scoring system for identify accurate answers for factoid questions. International Journal of Science and Research (IJSR), 2(9), 154-157.

Mollá, D. (2009). From minimal logical forms for answer extraction to logical graphs for question answering. In Searching answers: Festschrift in Honour of Michael Hess on the Occasion of His 60th Birthday (pp. 101-108).

Mollá, D., Van Zaanen, M., & Cassidy, S. (2007). Named entity recognition in question answering of speech data. In Proceedings of the Australasian Language Technology Workshop (pp. 57-65).

Rinaldi, F., Dowdall, J., Kaljurand, K., Hess, M., & Mollá, D. (2003, July). Exploiting paraphrases in a Question Answering System. In Proceedings of the second international workshop on Paraphrasing-Volume 16 (pp.25-32). Association for Computational Linguistics.

Russell, S., & Norvig, P. (2010). Artificial intelligence: A

modern approach (3rd ed.). New Jersey: Prentice Hall.

Salahli, M. A. (2009). An approach for measuring semantic

relatedness between words via related terms. Mathematical and Computational Applications, 14(1), 55-64.

Stoyanchev, S., Song, Y. C., & Lahti, W. (2008, August). Exact phrases in information retrieval for question answering. In Coling 2008: Proceedings of the 2nd workshop on Information Retrieval for Question Answering (pp. 9-16). Association for Computational Linguistics.

Zulen, A. A., & Purwarianti, A. (2011). Study and Implementation of Monolingual Approach on Indonesian Question Answering for Factoid and Non-Factoid Question. In 25th Pacific Asia Conference on Language, Information and Computation (pp. 622-







Abstract 304  .
PDF downloaded 167  .