Abstract
This paper describes the CLEF QA Track 2014. In the current general scenario for the CLEF QA Track, the starting point 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. The track was divided into three tasks: QALD focused on translating natural language questions into SPARQL queries; BioASQ focused on the biomedical domain, and Entrance Exams focused on answering questions to assess machine reading capabilities.
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References
Unger, C., Forascu, C., Lopez, V., Ngomo, A.-C.N., Cabrio, E., Cimiano, P., Walter, S.: Question Answering over Linked Data (QALD-4). In: CLEF 2014 Working Notes, Sheffield (2014)
Balikas, G., Partalas, I., Ngomo, A.-C.N., Krithara, A., Gaussier, E., Paliouras, G.: Results of the BioASQ Track of the Question Answering Lab at CLEF 2014. In: CLEF 2014 Working Notes, Sheffield (2014)
Peñas, A., Miyao, Y., Rodrigo, Á., Hovy, E., Kando, N.: Overview of CLEF QA Entrance Exams Task 2014. In: CLEF 2014 Working Notes, Sheffield (2014)
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© 2014 Springer International Publishing Switzerland
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Peñas, A., Unger, C., Ngomo, AC.N. (2014). Overview of CLEF Question Answering Track 2014. In: Kanoulas, E., et al. Information Access Evaluation. Multilinguality, Multimodality, and Interaction. CLEF 2014. Lecture Notes in Computer Science, vol 8685. Springer, Cham. https://doi.org/10.1007/978-3-319-11382-1_23
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DOI: https://doi.org/10.1007/978-3-319-11382-1_23
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11381-4
Online ISBN: 978-3-319-11382-1
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