2017 | OriginalPaper | Buchkapitel
The Qanary Ecosystem: Getting New Insights by Composing Question Answering Pipelines
verfasst von : Dennis Diefenbach, Kuldeep Singh, Andreas Both, Didier Cherix, Christoph Lange, Sören Auer
Erschienen in: Web Engineering
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Abstract
qa
vocabulary as an exchange format for typical QA components. As a result, QA systems can be built using the Qanary methodology in a simpler, more flexible and standardized way while becoming knowledge-driven instead of being process-oriented. This paper presents the components and services that are integrated using the qa
vocabulary and the Qanary methodology within the Qanary ecosystem. Moreover, we show how the Qanary ecosystem can be used to analyse QA processes to detect weaknesses and research gaps. We illustrate this by focusing on the Entity Linking (EL) task w.r.t. textual natural language input, which is a fundamental step in most QA processes. Additionally, we contribute the first EL benchmark for QA, as open source. Our main goal is to show how the research community can use Qanary to gain new insights into QA processes.