<?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%">Sumire Uematsu</style></author><author><style face="normal" font="default" size="100%">Jun’ichi Tsujii</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Evaluating Contribution of Deep Syntactic Information to Shallow Semantic Analysis</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 11th International Conference on Parsing Technologies</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">October</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Paris, France</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This paper presents shallow semantic parsing based only on HPSG parses. An HPSG-FrameNet map was constructed from a semantically annotated corpus, and semantic parsing was performed by mapping HPSG dependencies to FrameNet relations. The semantic parsing was evaluated in a Senseval-3 task; the results suggested that there is a high contribution of syntactic information to semantic analysis.</style></abstract></record></records></xml>