From Building Corpora for Recognizing Faceted Entailment to Recognizing Relational Entailment
| Authors | |
|---|---|
| Year of publication | 2018 |
| Type | Article in Proceedings |
| Conference | Position Papers of the Federated Conference on Computer Science and Information Systems |
| MU Faculty or unit | |
| Citation | |
| Web | Full paper – From Building Corpora for Recognizing Faceted Entailment to Recognizing Relational Entailment |
| Doi | http://dx.doi.org/10.15439/2018F381 |
| Keywords | Faceted Entailment; Relational Entailment |
| Description | 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. As a generalization of this approach and general principles of open IE, we introduce a notion of relational entailment and provide its basic properties and relations to other entailment-like issues. We would like to introduce the problem of relational entailment as an important task with potentially wide range of real-world applications. |
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