Tag Archives: Question Answering systems

Come and meet the HOBBIT Project at ISWC-2017

The H2020 project HOBBIT proudly  organises the BLINK 2017 and co-organises the NLIWoD3 at ISWC 2017.  In addition to the workshops, HOBBIT organises the QALD Challenge on Question Answering and participates with the Link Discovery Task at the OAEI Ontology Matching Workshop. We will present all events in the following. The BLINK and NLIWoD3 accepted […]

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Benchmarking Query Answering Systems for Linked Data using HOBBIT Benchmarks

“Alexa, how is the traffic?” This is one of the questions I ask most mornings in my kitchen, while trying to estimate whether I still have the time to complete my slow and painful brain-wake-up sequence or I should rush out, before the roads to work begin to fill up. After the initial excitement, regular […]

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HOBBIT collaborates with EuroStars project DIESEL

HOBBIT collaborates with European research projects to support their benchmarking activities. One of the ongoing collaborations is with the DIESEL project, which aims to develop a Linked-Data driven keyword search engine suited for handling extensive amounts of enterprise data. HOBBIT and DIESEL teamed up to provide a supplementary dataset for the QALD-7 challenge at the […]

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Question Answering: approaches and benchmark

Question Answering (QA) systems aim at providing correct answers to natural language queries, typically on the basis of one or more structured datasets which constitute their “knowledge base”. These systems are becoming increasingly available for both domain specific applications and broad everyday life adoption (just think of Amazon’s Alexa and Google’s Home). However, significant challenges […]

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