Overview of the CLEF question answering track 2015

Anselmo Peñas, Christina Unger, Georgios Paliouras, Ioannis Kakadiaris

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

This paper describes the CLEF QA Track 2015. Following the scenario stated last year for the CLEF QA Track, the starting point for accessing information is always a Natural Language question. However, answering some questions may need to query Linked Data (especially if aggregations or logical inferences are required), some questions may need textual inferences and querying free-text, and finally, answering some queries may require both sources of information. In this edition, the Track was divided into four tasks: (i) QALD: focused on translating natural language questions into SPARQL; (ii) Entrance Exams: focused on answering questions to assess machine reading capabilities; (iii) BioASQ1 focused on large-scale semantic indexing and (iv) BioASQ2 for Question Answering in the biomedical domain.

Original languageEnglish (US)
Title of host publicationExperimental IR Meets Multilinguality, Multimodality, and Interaction - 6th International Conference of the CLEF Association, CLEF 2015, Proceedings
EditorsEric San Juan, Jacques Savoy, Josiane Mothe, Jaap Kamps, Gareth J.F. Jones, Nicola Ferro, Karen Pinel-Sauvagnat, Linda Cappellato
PublisherSpringer-Verlag
Pages539-544
Number of pages6
ISBN (Print)9783319240268
DOIs
StatePublished - 2015
Event6th International Conference on Labs of the Evaluation Forum, CLEF 2015 - Toulouse, France
Duration: Sep 8 2015Sep 11 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9283
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Labs of the Evaluation Forum, CLEF 2015
Country/TerritoryFrance
CityToulouse
Period9/8/159/11/15

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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