AbstractIn Generative Lexicon Theory (glt) (Pustejovsky 1995), co-composition is one of the generative devices proposed to explain the cases of verbal polysemous behavior where more than one function application is allowed. The English baking verbs were used as examples to illustrate how their arguments co-specify the verb withqualia unification.Some studies (Blutner 2002;Carston 2002;Falkum 2007) stated that the information of pragmatics and world knowledge need to be considered as well. Therefore, this study would like to examine whethergltcould be practiced in a real-world Natural Language Processing (nlp) application using collocations. We have conducted a fine-grained logical polysemy disambiguation task, taking the open-sourced Leiden Weibo Corpus as resource and computing with Support Vector Machine (svm) classifier. Within the classifier, we have taken collocated verbs undergltas main features. In addition, measure words and syntactic patterns are extracted as additional features for comparison. Our study investigates the logical polysemy of the Chinese verbkao‘bake’. We find thatgltcould help in identifying logically polysemous cases; additional features would help the classifier achieve a higher performance.