Self-Wiring Question Answering Systems

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearch

Standard

Self-Wiring Question Answering Systems. / Usbeck, Ricardo; Huthmann, Jonathan; Duldhardt, Nico et al.

Conference XXX. 2016.

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearch

Harvard

Usbeck, R, Huthmann, J, Duldhardt, N & Ngomo, A-CN 2016, Self-Wiring Question Answering Systems. in Conference XXX. https://doi.org/10.48550/arXiv.1611.01802

APA

Usbeck, R., Huthmann, J., Duldhardt, N., & Ngomo, A-C. N. (2016). Self-Wiring Question Answering Systems. Manuscript in preparation. In Conference XXX https://doi.org/10.48550/arXiv.1611.01802

Vancouver

Usbeck R, Huthmann J, Duldhardt N, Ngomo A-CN. Self-Wiring Question Answering Systems. In Conference XXX. 2016 doi: 10.48550/arXiv.1611.01802

Bibtex

@inbook{58ab33c23ce047e4b5f38855055441fa,
title = "Self-Wiring Question Answering Systems",
abstract = " Question answering (QA) has been the subject of a resurgence over the past years. The said resurgence has led to a multitude of question answering (QA) systems being developed both by companies and research facilities. While a few components of QA systems get reused across implementations, most systems do not leverage the full potential of component reuse. Hence, the development of QA systems is currently still a tedious and time-consuming process. We address the challenge of accelerating the creation of novel or tailored QA systems by presenting a concept for a self-wiring approach to composing QA systems. Our approach will allow the reuse of existing, web-based QA systems or modules while developing new QA platforms. To this end, it will rely on QA modules being described using the Web Ontology Language. Based on these descriptions, our approach will be able to automatically compose QA systems using a data-driven approach automatically. ",
keywords = "cs.AI, cs.CL, cs.IR, Informatics",
author = "Ricardo Usbeck and Jonathan Huthmann and Nico Duldhardt and Ngomo, {Axel-Cyrille Ngonga}",
note = "6 pages, 1 figure, pre-print in lncs",
year = "2016",
month = nov,
day = "8",
doi = "10.48550/arXiv.1611.01802",
language = "English",
booktitle = "Conference XXX",

}

RIS

TY - CHAP

T1 - Self-Wiring Question Answering Systems

AU - Usbeck, Ricardo

AU - Huthmann, Jonathan

AU - Duldhardt, Nico

AU - Ngomo, Axel-Cyrille Ngonga

N1 - 6 pages, 1 figure, pre-print in lncs

PY - 2016/11/8

Y1 - 2016/11/8

N2 - Question answering (QA) has been the subject of a resurgence over the past years. The said resurgence has led to a multitude of question answering (QA) systems being developed both by companies and research facilities. While a few components of QA systems get reused across implementations, most systems do not leverage the full potential of component reuse. Hence, the development of QA systems is currently still a tedious and time-consuming process. We address the challenge of accelerating the creation of novel or tailored QA systems by presenting a concept for a self-wiring approach to composing QA systems. Our approach will allow the reuse of existing, web-based QA systems or modules while developing new QA platforms. To this end, it will rely on QA modules being described using the Web Ontology Language. Based on these descriptions, our approach will be able to automatically compose QA systems using a data-driven approach automatically.

AB - Question answering (QA) has been the subject of a resurgence over the past years. The said resurgence has led to a multitude of question answering (QA) systems being developed both by companies and research facilities. While a few components of QA systems get reused across implementations, most systems do not leverage the full potential of component reuse. Hence, the development of QA systems is currently still a tedious and time-consuming process. We address the challenge of accelerating the creation of novel or tailored QA systems by presenting a concept for a self-wiring approach to composing QA systems. Our approach will allow the reuse of existing, web-based QA systems or modules while developing new QA platforms. To this end, it will rely on QA modules being described using the Web Ontology Language. Based on these descriptions, our approach will be able to automatically compose QA systems using a data-driven approach automatically.

KW - cs.AI

KW - cs.CL

KW - cs.IR

KW - Informatics

U2 - 10.48550/arXiv.1611.01802

DO - 10.48550/arXiv.1611.01802

M3 - Article in conference proceedings

BT - Conference XXX

ER -