Annals of Computer Science and Information Systems, Volume 16

DOI: http://dx.doi.org/10.15439/2018F381

Citation: Position Papers of the 2018 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 16, pages 33–38 (2018)

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Abstract. Recognizing textual entailment (RTE) became a well established and widely studied task. Partial textual entailment -- and faceted textual entailment in particular -- belong to tasks that are derived from RTE. Although there exist many annotated corpora for the original RTE problem, faceted textual entailment is in the sense of easy-accessible corpora highly neglected. In this paper, we present a semi-automatic approach to deriving corpora for faceted entailment task from a general RTE corpus using open information extraction (open IE) tools.

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