QUESTION ANSWERING TERJEMAH AL QUR’AN MENGGUNAKAN NAMED ENTITY RECOGNITION
Abstract
Al Quran is the guidance of all Muslims all over the world, including Indonesian society that most of the people are moslem. the purpose of this research is to help the society for seeking the quranic proposition in the free question forms or more often known Question Answering System (QAS). In this study the algorithm used to provide the answers is Rule Based. Rule Based on previous research by indexing documents using lucene with the same set of data and same category (Who, When, and Where) getting low accuracy result (60%, 60%, and 40%). In this research, the improvement of architecture by involving Named Entity Recognition (NER) and improvement of indexing and determination of candidate answer using Vector Space Model. The results of the improved architecture are proven increased accuracy with each accuracy of each category of 90%, 80%, and 50%.
Downloads
References
Anggraeny, Meynar Dwi. 2007. “Implementasi Question Answering System Dengan Metode Rule-Based Pada Terjemahan Al Qur’an Surat Al Baqarah”. Skripsi Program Studi Ilmu Komputer IPB Bogor.
Hammo, Hammo,dkk. 2002. “QARAB: A question answering system to support the Arabic language”. ACL 2002 Computational approaches to semitic languages, pp. 11.
Derici, Caner, dkk.2013. “Türkçe Soru Cevaplama Sistemlerinde Kural Tabanlı Odak Çıkarımı Rule-Based Focus Extraction in Turkish Question Answering Systems”.Department of Computer Engineering. Boğaziçi University,34342 Bebek, Istanbul, Turkey
Buscaldi, Davide. 2007. “N-gram vs. Keyword-Based Passage Retrieval for Question Answering”. in Evaluation of Multilingual and Multi-modal Information Retrieval.Springer-Verlag Berlin Heidelberg. pp. 377-384.
Homaidi, Ahmad.2015. “Question and Answering System pada Buku Transformasi Pesantren Sukorejo dari Hutan Menjadi Pusat Pendidikan Menggunakan N-Gram Passage Retrieval”. Tesis Program Studi Teknologi Informasi STTS Surabaya.
Jovita, dkk.2015. “Using Vector Space Model in Question Answering System,” Procedia Computer Science, Vol. 59, No. Iccsci, pp. 305-311.
Gusmita, Ria Hari, dkk. 2014. “A rule-based question answering system on relevant documents of Indonesian Quran Translation”. International Conference on Cyber and IT Service Management, CITSM 2014.
Mollá, Diego, dkk. 2006. “Named Entity Recognition for Question Answering”. Proceedings of ALTW, p. 51–58.
Chen, Hsi-Hsi, 1998. “Named Entity Extraction for Information Retrieval”. Computer Processing Of Oriental Languages, Vol. 12, No. 4, pp. 75-85.
Liu, Ye and Ren, Fuji. 2011.“Japanese Named Entity Recognition for Question Answering System”. IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS).
Akour, Mohammed. 2011. “QArabPro: A Rule Based Question Answering System For Reading Comprehension Tests in Arabic”. American Journal of Applied Sciences, Vol. 8, No. 6, pp. 652-661.
Departemen Agama, 1989. Al Qur'an dan Terjemahannya, Semarang: Toha Putra.
Grishman, Ralph. 1997. “Information Extraction : Techniques and Challenges”. Information Extraction A Multidisciplinary Approach to an Emerging Information Technology, pp. 10-27, 1997.
Chinchor, Nancy and P. Robinson, 1997. “MUC-7 Named Entity Task Definition”. Proceedings of the Sixth Message Understanding Conference MUC6.
Asian, Jelita. 2007.“Effective Techniques for Indonesian Text Retrieval”. School of Computer Science and Information Technology, Science, Engineering, and Technology Portfolio, RMIT University: Australia.
Arifin, Agus Zainal. 2009. “Enhanced Confix Stripping Stemmer And Ants Algorithm For Classifying News Document In Indonesian Language”. International Conference on Information & Communication Technology and Systems, Vol. 5, pp. 149-158.
Amin, Fatkhul. 2012. “Sistem Temu Kembali Informasi dengan Metode Vector Space Model”. Jurnal Sistem Informasi Bisnis Vol. 18,No. 2. pp. 122-129.
Cios, J.K. dkk. 2007. Data Mining A Knowledge Discovery Approach, New York: Springer US.
Rillof, Ellen and Michael Thelen.2000. “A Rule-Based Question Answering System For Reading Comprehension Tests”. ANLP/NAACL 2000 Workshop on Reading Comprehension Tests as Evaluation for Computer-Based Language Understanding Sytems.Vol. 6, pp. 13-19.
Copyright (c) 2017 Jurnal Ilmiah Informatika
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Abstract viewed = 207 times
PDF (Bahasa Indonesia) downloaded = 0 times
