Conference article

An Optimal Quadratic Approach to Monolingual Paraphrase Alignment

Mihai Lintean
Department of Computer Science, The University of Memphis, Memphis, USA

Vasile Rus
Department of Computer Science, The University of Memphis, Memphis, USA

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Published in: Proceedings of the 20th Nordic Conference of Computational Linguistics, NODALIDA 2015, May 11-13, 2015, Vilnius, Lithuania

Linköping Electronic Conference Proceedings 109:17, s. 127-134

NEALT Proceedings Series 23:17, s. 127-134

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Published: 2015-05-06

ISBN: 978-91-7519-098-3

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

We model the problem of monolingual textual alignment as a Quadratic Assignment Problem (QAP) which simultaneously maximizes the global lexicosemantic (at word level) and syntactic similarity of two sentence-level texts. Because QAP is an NP-complete problem, we propose a branch-and-bound approach to efficiently find an optimal solution. When compared with other methods and studies, our results are competitive.

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