@inproceedings{18dc567abcd3472bbf7490f9e3266cd3,
title = "Unsupervised learning of semantic relation composition",
abstract = "This paper presents an unsupervised method for deriving inference axioms by composing semantic relations. The method is independent of any particular relation inventory. It relies on describing semantic relations using primitives and manipulating these primitives according to an algebra. The method was tested using a set of eight semantic relations yielding 78 inference axiomswhich were evaluated over PropBank.",
author = "Eduardo Blanco and Dan Moldovan",
year = "2011",
language = "English (US)",
isbn = "9781932432879",
series = "ACL-HLT 2011 - Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies",
pages = "1456--1465",
booktitle = "ACL-HLT 2011 - Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics",
note = "49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-HLT 2011 ; Conference date: 19-06-2011 Through 24-06-2011",
}