Automated Question Answering System for Community-Based Questions
DOI:
https://doi.org/10.1609/aaai.v32i1.12159Keywords:
Question Answering, Query formulation, Answer ranking, Open-domainAbstract
We present our attempt at developing an efficient Question Answering system for both factoid and non-factoid questions from any domain. Empirical evaluation of our system using multiple datasets demonstrates that our system outperforms the best system from the TREC LiveQA tracks, while keeping the response time to under less than half a minute.
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Published
2018-04-29
How to Cite
Pithyaachariyakul, C., & Kulkarni, A. (2018). Automated Question Answering System for Community-Based Questions. Proceedings of the AAAI Conference on Artificial Intelligence, 32(1). https://doi.org/10.1609/aaai.v32i1.12159
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Student Abstract Track