tailieunhanh - Báo cáo khoa học: " A Practical Korean Question Answering Framework for Restricted Domain"

We present a Korean question answering framework for restricted domains, called K-QARD. K-QARD is developed to achieve domain portability and robustness, and the framework is successfully applied to build question answering systems for several domains. Domain-dependent External Resources NL Question Training examples Domain ontology TE/TR rules Semantic frames Question Analysis. | K-QARD A Practical Korean Question Answering Framework for Restricted Domain Jae-Won Lee Computing Lab. Samsung Advanced Institute of Technology Nongseo-ri Giheung-eup Yongin-si Gyeonggi-do 449-712 Korea jwonlee@ Young-In Song HooJung Chung Kyoung-Soo Han JooYoung Lee Hae-Chang Rim Dept. of Computer Science Engineering Korea University Seongbuk-gu Seoul 136-701 Korea song hjchung kshan jylee rim @ Abstract We present a Korean question answering framework for restricted domains called K-QARD. K-QARD is developed to achieve domain portability and robustness and the framework is successfully applied to build question answering systems for several domains. 1 Introduction K-QARD is a framework for implementing a fully automated question answering system including the Web information extraction IE . The goal of the framework is to provide a practical environment for the restricted domain question answering QA system with the following requirements Domain portability Domain adaptation of QA systems based on the framework should be possible with minimum human efforts. Robustness The framework has to provide methodologies to ensure robust performance for various expressions of a question. For the domain portability K-QARD is designed as a domain-independent architecture and it keeps all domain-dependent elements in external resources. In addition the framework tries to employ various techniques for reducing the human effort such as simplifying rules based on linguistic information and machine learning approaches. Our effort for the robustness is focused the question analysis. Instead of using a technique for deep understanding of the question the question analysis component of K-QARD tries to extract only essential information for answering using the information extraction technique with linguistic information. Such approach is helpful for Figure 1 Architecture of K-QARD not only the robustness but also the domain portability because it generally .