<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Janarthanam, Srinivasan</style></author><author><style face="normal" font="default" size="100%">Hastie, Helen</style></author><author><style face="normal" font="default" size="100%">Lemon, Oliver</style></author><author><style face="normal" font="default" size="100%">Liu, Xingkun</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">&quot;The day after the day after tomorrow?&quot; A machine learning approach to adaptive temporal expression generation: training and evaluation with real users</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the SIGDIAL 2011 Conference</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.aclweb.org/anthology/W/W11/W11-2017</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%">Portland, Oregon</style></pub-location><pages><style face="normal" font="default" size="100%">142–151</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>
