@inproceedings{e5f951accf224a9897d81779ea756e63,
title = "Building textual entailment specialized data sets: A methodology for isolating linguistic phenomena relevant to inference",
abstract = "This paper proposes a methodology for the creation of specialized data sets for Textual Entailment, made of monothematic Text-Hypothesis pairs (i.e. pairs in which only one linguistic phenomenon relevant to the entailment relation is highlighted and isolated). The annotation procedure assumes that humans have knowledge about the linguistic phenomena relevant to inference, and a classification of such phenomena both into fine grained and macro categories is suggested. We experimented with the proposed methodology over a sample of pairs taken from the RTE-5 data set, and investigated critical issues arising when entailment, contradiction or unknown pairs are considered. The result is a new resource, which can be profitably used both to advance the comprehension of the linguistic phenomena relevant to entailment judgments and to make a first step towards the creation of large-scale specialized data sets.",
author = "Luisa Bentivogli and Elena Cabrio and Ido Dagan and Danilo Giampiccolo and {Lo Leggio}, Medea and Bernardo Magnini",
year = "2010",
language = "אנגלית",
series = "Proceedings of the 7th International Conference on Language Resources and Evaluation, LREC 2010",
publisher = "European Language Resources Association (ELRA)",
pages = "3542--3549",
editor = "Daniel Tapias and Irene Russo and Olivier Hamon and Stelios Piperidis and Nicoletta Calzolari and Khalid Choukri and Joseph Mariani and Helene Mazo and Bente Maegaard and Jan Odijk and Mike Rosner",
booktitle = "Proceedings of the 7th International Conference on Language Resources and Evaluation, LREC 2010",
note = "7th International Conference on Language Resources and Evaluation, LREC 2010 ; Conference date: 17-05-2010 Through 23-05-2010",
}