RQAS: A Rapid QA Scheme with Exponential Elevations of Keyword Rankings

Cheng Zhang, Jie Wang

2017

Abstract

We present a rapid question-answering scheme (RQAS) for constructing a chatbot over specific domains with data in the format of question-answer pairs (QAPs). We want RQAS to return the most appropriate answer to a user question in realtime. RQAS is based on TF-IDF scores and exponential elevations of keyword rankings generated by TextRank to overcome the common problems of selecting an answer based on the highest similarity of the user question and questions in the existing QAPs, making it easy for general QAS builders to construct a QAS for a given application. Experiments show that RQAS is both effective and efficient regardless the size of the underlying QAP dataset.

Paper Citation

in Harvard Style

Zhang C. and Wang J. (2017). RQAS: A Rapid QA Scheme with Exponential Elevations of Keyword Rankings.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, ISBN 978-989-758-271-4, pages 302-309. DOI: 10.5220/0006582203020309

in Bibtex Style

@conference{kdir17,
author={Cheng Zhang and Jie Wang},
title={RQAS: A Rapid QA Scheme with Exponential Elevations of Keyword Rankings},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,},
year={2017},
pages={302-309},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006582203020309},
isbn={978-989-758-271-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,
TI - RQAS: A Rapid QA Scheme with Exponential Elevations of Keyword Rankings
SN - 978-989-758-271-4
AU - Zhang C.
AU - Wang J.
PY - 2017
SP - 302
EP - 309
DO - 10.5220/0006582203020309