@inproceedings{84e096a5a5e949cdbf7754ea7be2aef2,
title = "Learning canonical forms of entailment rules",
abstract = "We propose a modular approach to paraphrase and entailment-rule learning that addresses the morphosyntactic variability of lexical-syntactic templates. Using an entailment module that captures generic morpho-syntactic regularities, we transform every identified template into a canonical form. This way, statistics from different template variations are accumulated for a single template form. Additionally, morpho-syntactic redundant rules are not acquired. This scheme also yields more informative evaluation for the acquisition quality, since the bias towards rules with many frequent variations is avoided.",
keywords = "Knowledge acquisition, Paraphrases, Textual entailment",
author = "Idan Szpektor and Ido Dagan",
year = "2007",
language = "אנגלית",
series = "International Conference Recent Advances in Natural Language Processing, RANLP",
publisher = "Association for Computational Linguistics (ACL)",
pages = "558--563",
editor = "Galia Angelova and Kalina Bontcheva and Ruslan Mitkov and Nicolas Nicolov and Nikolai Nikolov",
booktitle = "International Conference Recent Advances in Natural Language Processing, RANLP 2007 - Proceedings",
address = "ארצות הברית",
note = "International Conference Recent Advances in Natural Language Processing, RANLP 2007 ; Conference date: 27-09-2007 Through 29-09-2007",
}