Details
| Original language | English |
|---|---|
| Article number | 100586 |
| Journal | Journal of Web Semantics |
| Volume | 64 |
| Early online date | 13 Jun 2020 |
| Publication status | Published - Oct 2020 |
Abstract
Semantic Question Answering (SQA) systems automatically interpret user questions expressed in a natural language in terms of semantic queries. This process involves uncertainty, such that the resulting queries do not always accurately match the user intent, especially for more complex and less common questions. In this article, we aim to empower users in guiding SQA systems towards the intended semantic queries through interaction. We introduce IQA — an interaction scheme for SQA pipelines. This scheme facilitates seamless integration of user feedback in the question answering process and relies on Option Gain — a novel metric that enables efficient and intuitive user interaction. Our evaluation shows that using the proposed scheme, even a small number of user interactions can lead to significant improvements in the performance of SQA systems.
Keywords
- Knowledge graphs, Option gain, Question answering, User interaction
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Computer Science(all)
- Human-Computer Interaction
- Computer Science(all)
- Computer Networks and Communications
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In: Journal of Web Semantics, Vol. 64, 100586, 10.2020.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - IQA
T2 - Interactive query construction in semantic question answering systems
AU - Zafar, Hamid
AU - Dubey, Mohnish
AU - Lehmann, Jens
AU - Demidova, Elena
PY - 2020/10
Y1 - 2020/10
N2 - Semantic Question Answering (SQA) systems automatically interpret user questions expressed in a natural language in terms of semantic queries. This process involves uncertainty, such that the resulting queries do not always accurately match the user intent, especially for more complex and less common questions. In this article, we aim to empower users in guiding SQA systems towards the intended semantic queries through interaction. We introduce IQA — an interaction scheme for SQA pipelines. This scheme facilitates seamless integration of user feedback in the question answering process and relies on Option Gain — a novel metric that enables efficient and intuitive user interaction. Our evaluation shows that using the proposed scheme, even a small number of user interactions can lead to significant improvements in the performance of SQA systems.
AB - Semantic Question Answering (SQA) systems automatically interpret user questions expressed in a natural language in terms of semantic queries. This process involves uncertainty, such that the resulting queries do not always accurately match the user intent, especially for more complex and less common questions. In this article, we aim to empower users in guiding SQA systems towards the intended semantic queries through interaction. We introduce IQA — an interaction scheme for SQA pipelines. This scheme facilitates seamless integration of user feedback in the question answering process and relies on Option Gain — a novel metric that enables efficient and intuitive user interaction. Our evaluation shows that using the proposed scheme, even a small number of user interactions can lead to significant improvements in the performance of SQA systems.
KW - Knowledge graphs
KW - Option gain
KW - Question answering
KW - User interaction
UR - http://www.scopus.com/inward/record.url?scp=85086459902&partnerID=8YFLogxK
U2 - 10.48550/arXiv.2006.11534
DO - 10.48550/arXiv.2006.11534
M3 - Article
AN - SCOPUS:85086459902
VL - 64
JO - Journal of Web Semantics
JF - Journal of Web Semantics
SN - 1570-8268
M1 - 100586
ER -