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.
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Peñas, A., Miyao, Y., Rodrigo, Á., Hovy, E., Kando, N.: Overview of CLEF QA entrance exams task 2015. In: Cappellato, L., Ferro, N., Jones, G., San Juan, E. (eds) CLEF 2015 Labs and Workshops, Notebook Papers. CEUR Workshop Proceedings (CEUR-WS.org), ISSN 1613-0073 (2015)
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© 2015 Springer International Publishing Switzerland
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Peñas, A., Unger, C., Paliouras, G., Kakadiaris, I. (2015). Overview of the CLEF Question Answering Track 2015. In: Mothe, J., et al. Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2015. Lecture Notes in Computer Science(), vol 9283. Springer, Cham. https://doi.org/10.1007/978-3-319-24027-5_50
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DOI: https://doi.org/10.1007/978-3-319-24027-5_50
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