Restricting Answer Candidates Based on Taxonomic Relatedness of Integrated Lexical Knowledge Base in Question Answering

Author:

Heo Jeong,Lee Hyung-Jik,Wang Ji-Hyun,Bae Yong-Jin,Kim Hyun-Ki,Ock Cheol-Young

Funder

Institute for Information & Communications Technology Promotion

Ministry of Science, ICT and Future Planning

Publisher

Wiley

Subject

Electrical and Electronic Engineering,General Computer Science,Electronic, Optical and Magnetic Materials

Reference26 articles.

1. J. Burger “Issues, Tasks and Program Structures to Roadmap Research in Question & Answering,” Document Understanding Conf. Roadmapping Documents 2001 1 35

2. J. Chu-Carroll “IBM's PIQUANT II in TREC 2004,” Proc. TREC Gaithersburg, MD, USA 2004 184 191

3. D. Moldovan “The Structure and Performance of an Open-Domain Question Answering System,” Proc. Annu. Meeting ACL Hong Kong, China 2000 563 570

4. “Open Domain Question Answering Using Wikipedia-Based Knowledge Model,”;Ryu;Inform. Process. Manage.,2014

5. P.C. Chen M.J. Zhuang C.J. Lin “Using Wikipedia and Semantic Resources to Find Answer Types and Appropriate Answer Candidates Sets in Question Answering,” Open Knowl. Base Question Answering Workshop COLING Osaka, Japan 2016

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