Self-Wiring Question Answering Systems
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Conference XXX. 2016.
Research output: Contributions to collected editions/works › Article in conference proceedings › Research
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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 -