Publishing Partner: Cambridge University Press CUP Extra Publisher Login
amazon logo
More Info


New from Oxford University Press!

ad

The Language Hoax

By John H. McWhorter

The Language Hoax "argues that that all humans process life the same way, regardless of their language."


New from Cambridge University Press!

ad

Language and Development in Africa

By H. Ekkehard Wolff

Language and Development in Africa "discusses the resourcefulness of languages, both local and global, in view of the ongoing transformation of African societies as much as for economic development.. "


The LINGUIST List is dedicated to providing information on language and language analysis, and to providing the discipline of linguistics with the infrastructure necessary to function in the digital world. LINGUIST is a free resource, run by linguistics students and faculty, and supported primarily by your donations. Please support LINGUIST List during the 2016 Fund Drive.

Academic Paper


Title: A machine learning approach to textual entailment recognition
Author: Fabio Massimo Zanzotto
Institution: Università degli Studi di Roma - La Sapienza
Author: Marco Pennacchiotti
Institution: Yahoo! Research
Author: Alessandro Moschitti
Institution: Università degli Studi di Trento
Linguistic Field: Computational Linguistics; Pragmatics; Semantics; Syntax
Abstract: Designing models for learning textual entailment recognizers from annotated examples is not an easy task, as it requires modeling the semantic relations and interactions involved between two pairs of text fragments. In this paper, we approach the problem by first introducing the class of pair feature spaces, which allow supervised machine learning algorithms to derive first-order rewrite rules from annotated examples. In particular, we propose syntactic and shallow semantic feature spaces, and compare them to standard ones. Extensive experiments demonstrate that our proposed spaces learn first-order derivations, while standard ones are not expressive enough to do so.

CUP AT LINGUIST

This article appears IN Natural Language Engineering Vol. 15, Issue 4, which you can READ on Cambridge's site or on LINGUIST .



Add a new paper
Return to Academic Papers main page
Return to Directory of Linguists main page