Trill: A Reusable Front-End for QA Systems

Diefenbach, Dennis; Amjad, Shanzay; Both, Andreas; Singh, Kamal Deep; Maret, Pierre

doi:10.1007/978-3-319-70407-4_10

Cited by 11 publications

(9 citation statements)

References 12 publications

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“…QALL-ME (Ferrandez et al 2011), openQA (Marx et al 2014), OKBQA 16 and QANARY (Both et al 2016, Diefenbach, Singh, Both, Cherix, Lange & Auer 2017. Such integration would also allow to build and reuse services around QA systems like speech recognition modules and reusable front-ends (Diefenbach, Amjad, Both, Singh & Maret 2017). This way the research community is enabled to tackle new research directions like developing speech recognition systems specifically designed to answer questions over KBs and study the interaction of QA systems with the user.…”

Section: Discussionmentioning

confidence: 99%

Core techniques of question answering systems over knowledge bases: a survey

et al. 2017

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Abstract. The Semantic Web contains an enormous amount of information in the form of knowledge bases (KB). To make this information available, many question answering (QA) systems over KBs were created in the last years. Building a QA system over KBs is difficult because there are many different challenges to be solved. In order to address these challenges, QA systems generally combine techniques from natural language processing, information retrieval, machine learning and Semantic Web. The aim of this survey is to give an overview of the techniques used in current QA systems over KBs. We present the techniques used by the QA systems which were evaluated on a popular series of benchmarks: Question Answering over Linked Data (QALD). Techniques that solve the same task are first grouped together and then described. The advantages and disadvantages are discussed for each technique. This allows a direct comparison of similar techniques. Additionally, we point to techniques that are used over WebQuestions and SimpleQuestions, which are two other popular benchmarks for QA systems.

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Section: Discussionmentioning

confidence: 99%

Core techniques of question answering systems over knowledge bases: a survey

et al. 2017

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“…Entity summaries are used in Trill [5], the front-end used by WDAqua-Core1. An example is given in Figure 4.…”

Section: Entity Summarization For 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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“…Additionally it can be used together with a number of services that are constructed around Qanary. These include a reusable front-end called Trill [2]. A demo of Trill that in the back-end uses WDAqua-core0 can be found under www.wdaqua.eu/qa.…”

Section: Integration In Qanarymentioning

confidence: 99%

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

Diefenbach

Singh

Maret

2017

Communications in Computer and Information Science

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Abstract. We describe and present a new Question Answering (QA) component that can be easily used by the QA research community. It can be used to answer questions over DBpedia and Wikidata. The language support over DBpedia is restricted to English, while it can be used to answer questions in 4 different languages over Wikidata namely English, French, German and Italian. Moreover it supports both full natural language queries as well as keyword queries. We describe the interfaces to access and reuse it and the services it can be combined with. Moreover we show the evaluation results we achieved on the QALD-7 benchmark.

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Trill: A Reusable Front-End for QA Systems

Cited by 11 publications

References 12 publications

Core techniques of question answering systems over knowledge bases: a survey

Core techniques of question answering systems over knowledge bases: a survey

PageRank and Generic Entity Summarization for RDF Knowledge Bases

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

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