<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ben Aharon, Roni</style></author><author><style face="normal" font="default" size="100%">Szpektor, Idan</style></author><author><style face="normal" font="default" size="100%">Dagan, Ido</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Generating Entailment Rules from FrameNet</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the ACL 2010 Conference Short Papers</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">July</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.aclweb.org/anthology/P10-2045</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Association for Computational Linguistics</style></publisher><pub-location><style face="normal" font="default" size="100%">Uppsala, Sweden</style></pub-location><pages><style face="normal" font="default" size="100%">241–246</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Many NLP tasks need accurate knowledge for semantic inference. To this end, mostly WordNet is utilized. Yet WordNet is limited, especially for inference between predicates. To help filling this gap, we present an algorithm that generates inference rules between predicates from FrameNet. Our experiment shows that the novel resource is effective and complements WordNet in terms of rule coverage.</style></abstract></record></records></xml>