loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Cheng Zhang and Jie Wang

Affiliation: University of Massachusetts Lowell, United States

Keyword(s): Question Answering, Information Retrieval, Keyword Ranking.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Context Discovery ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Mining Text and Semi-Structured Data ; Symbolic Systems

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.142.212.153

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 (IC3K 2017) - KDIR; ISBN 978-989-758-271-4; ISSN 2184-3228, SciTePress, pages 302-309. DOI: 10.5220/0006582203020309

@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 (IC3K 2017) - KDIR},
year={2017},
pages={302-309},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006582203020309},
isbn={978-989-758-271-4},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2017) - KDIR
TI - RQAS: A Rapid QA Scheme with Exponential Elevations of Keyword Rankings
SN - 978-989-758-271-4
IS - 2184-3228
AU - Zhang, C.
AU - Wang, J.
PY - 2017
SP - 302
EP - 309
DO - 10.5220/0006582203020309
PB - SciTePress