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Qald 7 at ESWC2017

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Presentation of QALD 7 challenge at ESWC2017: Question Answering over Linked Data.
This work was supported by grants from the EU H2020 Framework Programme provided for the project HOBBIT (GA no. 688227).

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Qald 7 at ESWC2017

  1. 1. QALD-7 Question Answering over Linked Data Challenge Presenter: Giulio Napolitano QALD-7 @ ESWC 2017 Portoroz, Slovenia Horizon 2020, GA No 688227 May 30th, 2017 Napolitano (Fraunhofer IAIS) Plenary 3 May 30th, 2017 1 / 16
  2. 2. Overview Question answering systems mediate between a user expressing an information need in natural language and RDF-modelled data Napolitano (Fraunhofer IAIS) Plenary 3 May 30th, 2017 2 / 16
  3. 3. Overview QALD is a series of evaluation campaigns that provide a benchmark for comparing different approaches and systems get a picture of their strengths and shortcomings gain insight into how we can develop approaches that deal with Semantic Web data as a knowledge source QALD-1 @ ESWC 2011 (3) QALD-2 @ ESWC 2012 (4) QALD-3 @ CLEF 2013 (6) QALD-4 @ CLEF 2014 QA track (9) QALD-5 @ CLEF 2015 QA track (7) QALD-6 @ ESWC 2016 (13) QALD-7 @ ESWC 2017 (3) Napolitano (Fraunhofer IAIS) Plenary 3 May 30th, 2017 3 / 16
  4. 4. Tasks Overall task Given a natural language question, retrieve the correct answer(s) from a given RDF repository. Types of challenges (specific tasks): 1 Multilingual 2 Hybrid 3 Large scale 4 Wikidata Napolitano (Fraunhofer IAIS) Plenary 3 May 30th, 2017 4 / 16
  5. 5. Task 1 - Multilingual questions Dataset: DBpedia 2016-04 (with multilingual labels) Questions: 215 training, 50 test provided in 8 languages: English, German, Spanish, Italian, French, Dutch, Romanian, Farsi can be answered with respect to the provided RDF data annotated with corresponding SPARQL queries and answers Challenge: Lexical and structural gap between natural language expressions and data, e.g. high → elevation have inhabitants → populationTotal graduate from → almaMater Napolitano (Fraunhofer IAIS) Plenary 3 May 30th, 2017 5 / 16
  6. 6. Example Which book has the most pages? Welches Buch hat die meisten Seiten? Quale libro ha il maggior numero di pagine? Quel livre a le plus de pages? ¿Que libro tiene el mayor numero de paginas? . . . Napolitano (Fraunhofer IAIS) Plenary 3 May 30th, 2017 6 / 16
  7. 7. Task 2 - Hybrid questions Dataset: DBpedia 2016-04 (with free text abstracts) Questions: 105 training, 50 test provided in English can be answered only by integrating structured data (RDF) and unstructured data (free text abstracts) annotated with pseudo-queries and answers Challenge: find information in several sources, process both structured and unstructured information, and combine them into one answer. Napolitano (Fraunhofer IAIS) Plenary 3 May 30th, 2017 7 / 16
  8. 8. Example Who is the front man of the band that wrote Coffee & TV? PREFIX r e s : <http :// dbpedia . org / r e s o u r c e/> PREFIX dbo : <http :// dbpedia . org / ontology/> SELECT DISTINCT ? u r i WHERE { r e s : Coffee_&_TV dbo : m u s i c a l A r t i s t ?x . ?x dbo : bandMember ? u r i . ? u r i t e x t : " i s " t e x t : " frontman " . } http://dbpedia.org/resource/Damon_Albarn Napolitano (Fraunhofer IAIS) Plenary 3 May 30th, 2017 8 / 16
  9. 9. Task 3 - Large scale Dataset: DBpedia 2016-04 Questions: 100 training, 2M test provided in English automatically generated questions sent every minute, n+1 questions asked at minute n Challenge: deal with high volume requests in a short time Napolitano (Fraunhofer IAIS) Plenary 3 May 30th, 2017 9 / 16
  10. 10. Task 4 - Wikidata Dataset: Wikidata 2017-01 Questions: 100 training, 50 test provided in English questions based on DBpedia but performed on Wikidata Challenge: formulate generic approaches, adapting to new data sources Napolitano (Fraunhofer IAIS) Plenary 3 May 30th, 2017 10 / 16
  11. 11. Participants Dennis Diefenbach, Kamal Singh, Pierre Maret WDAqua-core0: A Question Answering Component for the Research Community Task 1 and Task 4 Nikolay Radoev, Mathieu Tremblay, Michel Gagnon, Amal Zouaq Answering Natural Language Questions on RDF Knowledge base in French Task 1 Daniil Sorokin, Iryna Gurevych End-to-end Representation Learning for Question Answering with Weak Supervision Task 4 Napolitano (Fraunhofer IAIS) Plenary 3 May 30th, 2017 11 / 16
  12. 12. Organization committee Ricardo Usbeck Universität Leipzig, Germany Axel-Cyrille Ngonga Ngomo Universität Leipzig, Germany Bastian Haarmann Fraunhofer Institute IAIS, Germany Anastasia Krithara National Center for Scientic Research “Demokritos", Greece Napolitano (Fraunhofer IAIS) Plenary 3 May 30th, 2017 12 / 16
  13. 13. Data experts Harsh Takkar Universität Bonn, Germany Henning Petzka Fraunhofer Institute IAIS, Germany Jens Jehmann Fraunhofer Institute IAIS, Germany Napolitano (Fraunhofer IAIS) Plenary 3 May 30th, 2017 13 / 16
  14. 14. Program committee Corina Forascu - Alexandru Ioan Cuza University, Iasi, Romania Sebastian Walter - CITEC, Universität Bielefeld, Germany Bernd Müller - ZBMed, Germany Christoph Lange - Fraunhofer Gesellschaft, Germany Dennis Diefenbach - Université de Saint-Étienne, France Edgard Marx - Universität Leipzig, Germany Hady Elsahar - Université de Saint-Étienne, France Ioanna Lytra - Universität Bonn, Germany John McCrae - INSIGHT - The Centre for Data Analytics, Ireland Konrad Höffner - Universität Leipzig, Germany Kuldeep Singh - Universität Bonn, Germany Saeedeh Shekarpour - Kno.e.sis Center, Ohio Center of Excellence in Knowledge-enabled Computing, USA Sherzod Hakimov - CITEC, Universität Bielefeld, Germany Napolitano (Fraunhofer IAIS) Plenary 3 May 30th, 2017 14 / 16
  15. 15. The End Thank You! Thanks to Christina Unger for sharing her slides!!!! Napolitano (Fraunhofer IAIS) Plenary 3 May 30th, 2017 15 / 16
  16. 16. Don’t forget Thursday 1st June 9:00-11:00 Poster session 17:30 Awards at closing ceremony Napolitano (Fraunhofer IAIS) Plenary 3 May 30th, 2017 16 / 16

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