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., semantic role labelers trained on PropBank, NomBank or FrameNet. But propositional semantic representations disregard significant meaning encoded in human language. For example, while sentences (1-2) below share the same propositional meaning regarding verb carry, they do not convey the same overall meaning. In order to truly capture what these sentences mean, extra-propositional aspects of meaning (ExProM) such as uncertainty, negation and attribution must be taken into account.