Abstract
In this demonstration, we present a multi-source hybrid Question Answering (QA) system. Our system consists of four sub-systems: (1) a knowledgebase based QA, (2) an information retrieval based QA, (3) a keyword QA and (4) an information-extraction to construct our own knowledgebase from web texts. With these sub-systems, we can query three types of information sources: curated knowledgebases, automatically constructed knowledgebases and wiki texts.
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“Correct” means the result was reasonable interpretation for the keyword query based on human judgment.
References
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Acknowledgements
This work was supported by ICT R&D program of MSIP/IITP [10044508, Development of Non-Symbolic Approach-based Human-Like Self-Taught Learning Intelligence Technology] and ATC (Advanced Technology Center) Program—‘Development of Conversational Q&A Search Framework Based On Linked Data: Project No. 10048448’.
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Park, S., Shim, H., Han, S., Kim, B., Lee, G.G. (2015). Multi-Source Hybrid Question Answering System. In: Lee, G., Kim, H., Jeong, M., Kim, JH. (eds) Natural Language Dialog Systems and Intelligent Assistants. Springer, Cham. https://doi.org/10.1007/978-3-319-19291-8_23
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DOI: https://doi.org/10.1007/978-3-319-19291-8_23
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