WDAqua-core0: A Question Answering Component for the Research Community

Diefenbach, Dennis; Singh, Kamal Deep; Maret, Pierre

doi:10.1007/978-3-319-69146-6_8

Cited by 43 publications

(36 citation statements)

References 9 publications

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“…Compared to this previous work, Platypus provides a similar end-to-end learning approach based on templates, but also a grammar-based approach that can answer questions for which there is no template. Furthermore, our work provides easy support for multiple languages, a task that is only starting to be tackled by other works [10,11].…”

Section: Related Workmentioning

confidence: 99%

Demoing Platypus – A Multilingual Question Answering Platform for Wikidata

Tanon

Assunção

Caron

et al. 2018

Lecture Notes in Computer Science

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In this paper we present Platypus, a natural language question answering system on Wikidata. Our platform can answer complex queries in several languages, using hybrid grammatical and template based techniques. Our demo allows users either to select sample questions, or formulate their own-in any of the 3 languages that we currently support. A user can also try out our Twitter bot, which replies to any tweet that is sent to its account.

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Section: Related Workmentioning

confidence: 99%

Demoing Platypus – A Multilingual Question Answering Platform for Wikidata

Tanon

Assunção

Caron

et al. 2018

Lecture Notes in Computer Science

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“…In this section we show how the PageRank scores and the entity summarization services are used in the Quesiton Answering system WDAqua-Core1 [6,7].…”

Section: Use Case: Question Answeringmentioning

confidence: 99%

“…This enables extensibility and reusability without any types of restrictions. The framework has matured from earlier contributions [16,18,19] in the context of the WDAqua 3 research project with a focus on re-usable components for question answering [5,6,7]. This paper is organized as follows: In Section 2 we provide an overview of the presented resources.…”

Section: Introductionmentioning

confidence: 99%

PageRank and Generic Entity Summarization for RDF Knowledge Bases

Diefenbach

Thalhammer

2018

The Semantic Web

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Ranking and entity summarization are operations that are tightly connected and recurrent in many different domains. Possible application fields include information retrieval, question answering, named entity disambiguation, co-reference resolution, and natural language generation. Still, the use of these techniques is limited because there are few accessible resources. PageRank computations are resource-intensive and entity summarization is a complex research field in itself. We present two generic and highly re-usable resources for RDF knowledge bases: a component for PageRank-based ranking and a component for entity summarization. The two components, namely PageRankRDF and summaServer, are provided in form of open source code along with example datasets and deployments. In addition, this work outlines the application of the components for PageRank-based RDF ranking and entity summarization in the question answering project WDAqua.

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“…Trill accesses the Qanary back-end using these APIs. In particular the demo running under www.wdaqua.eu/qa calls a Qanary component called WDAqua-core0 [5] created in the frame of the WDAqua project 8 . Now we give a list of all the functionalities and presentational elements that are available in Trill.…”

Section: Description Of Trillmentioning

confidence: 99%

Trill: A Reusable Front-End for QA Systems

Diefenbach

Amjad

Both

et al. 2017

Lecture Notes in Computer Science

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Abstract. The Semantic Web contains an enormous amount of information in the form of knowledge bases. To make this information available to end-users many question answering (QA) systems over knowledge bases were created in the last years. Their goal is to enable users to access large amounts of structured data in the Semantic Web by bridging the gap between natural language and formal query languages like SPARQL. But automatically generating a SPARQL query from a user's question is not sufficient to bridge the gap between Semantic Web data and the end-users. The result of a SPARQL query consists of a list of URIs and/or literals, which is not a user-friendly presentation of the answer. Such a presentation includes the representation of the URI in the right language and additional information like images, maps, entity summaries and more. We present Trill, the first reusable user-interface (UI) for QA systems over knowledge bases supporting text and audio input, able to present answers from DBpedia and Wikidata in 4 languages (English, French, German, and Italian). It is designed to be used together with Qanary, an infrastructure for composing QA pipelines. This front-end enables the QA community to show their results to end-users and enables the research community to explore new research directions like studying and designing user-interactions with QA systems.

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WDAqua-core0: A Question Answering Component for the Research Community

Cited by 43 publications

References 9 publications

Demoing Platypus – A Multilingual Question Answering Platform for Wikidata

Demoing Platypus – A Multilingual Question Answering Platform for Wikidata

PageRank and Generic Entity Summarization for RDF Knowledge Bases

Trill: A Reusable Front-End for QA Systems

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