Development of Information Extraction System from Multi Source Unstructured Documents for Knowledge Base Expansion |
Choi, Hyunseung
(Department of Industrial Engineering, Yonsei University)
Kim, Mintae (Department of Industrial Engineering, Yonsei University) Kim, Wooju (Department of Industrial Engineering, Yonsei University) Shin, Dongwook (Knowledge Technology Cell, AI Technology Unit, AI Center, SK Telecom) Lee, Yong Hun (Knowledge Technology Cell, AI Technology Unit, AI Center, SK Telecom) |
1 | Ahn, S., "Deep Learning Architectures and Applications", Journal of Intelligence and Information Systems, Vol.22, No.2(2018), 127-142. DOI |
2 | Banko, M., M. J. Cafarella, S. Soderland, M. Broadhead, O. Etzioni, "Open information extraction from the web." IJCAI. Vol. 7, (2007), 2670-2676. |
3 | Eikvil, L, "Information extraction from world wide web-a survey.", Technical Report 945, Norwegian Computing Center, 1999. |
4 | Etzioni, O., M. Cafarella, and D. Downey, "Web-scale information extraction in knowitall:(preliminary results)." Proceedings of the 13th international conference on World Wide Web. ACM, (2004), 100-110. |
5 | JIN, S., H. Jang, W. KIM, "Improving Bidirectional LSTM-CRF model Of Sequence Tagging by using Ontology knowledge based feature", Journal of Intelligence and Information Systems, Vol.24, No.1(2018), 253-267). DOI |
6 | Gaizauskas, R., and Y. Wilks, "Information extraction: Beyond document retrieval.", Journal of documentation, Vol 54, No.1 (1998), 70-105. DOI |
7 | Hermann, K., et al. "Teaching machines to read and comprehend." Advances in Neural Information Processing Systems, (2015), 1693-1701. |
8 | Huang, Z., W. Xu, and K. Yu, "Bidirectional LSTM-CRF models for sequence tagging." arXiv preprint, (2015). |
9 | Khot, T., A. Sabharwal, and P. Clark, "Answering complex questions using open information extraction." arXiv preprint, (2017). |
10 | Kim, Y. "Convolutional neural networks for sentence classification." arXiv preprint, (2014). |
11 | Park, E.L., and Cho. S, "KoNLPy: Korean natural language processing in Python." Proceedings of the 26th Annual Conference on Human & Cognitive Language Technology, (2014). 133-136. |
12 | Park, H., M. Song, K. Shin, " Sentiment Analysis of Korean Reviews Using CNN: Focusing on Morpheme Embedding", Journal of Intelligence and Information Systems, Vol.24, No.2(2018), 59-83. DOI |
13 | Qiu , Lin., H. Zhou, Y. Q, W. Zhang, S. Li, S. Rong, D. Ru, L. Qian, W. Tu, Y. Yu, "QA4IE: A Question Answering based Framework for Information Extraction." arXiv preprint, (2018). |
14 | Rajpurkar, P., J. Zhang, K. Lopyrev, P. Liang, "Squad: 100,000+ questions for machine comprehension of text." arXiv preprint, (2016). |
15 | Wu, F., and D. S. Weld, "Autonomously semantifying wikipedia." Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, ACM, (2007), 41-50. |
16 | Seo, M., A. Kembhavi, A. Farhadi, H. Hajishirzi, "Bidirectional attention flow for machine comprehension." arXiv preprint, (2016). |
17 | Wang, W., N. Yang, F. Wei, B. Chang, M. Zhou, "Gated Self-matching networks for reading comprehension and question answering." Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, (2017). 189-198. |
18 | Wang, S., and J. Jiang, "Machine comprehension using match-lstm and answer pointer." arXiv preprint, (2016). |