Preface

摘要

During the last decade, semantic representation of text has focused on extracting propositional meaning, i.e., capturing who does what to whom, how, when and where. Several corpora are available, and existing tools extract this kind of knowledge, e.g., role labelers trained on PropBank or NomBank. Nevertheless, most current representations tend to disregard significant meaning encoded in human language. For example, sentences 1-2 below share the same argument structure regarding verb contracted, but do not convey the same overall meaning. While in the first example John contracting the disease is factual, in the second it is not: 1. John likely contracted the disease when a mouse bit him in the Adirondacks. 2. John never contracted the disease although a mouse bit him in the Adirondacks.