Integrating Generative Lexicon and Lexical Semantic Resources

In this tutorial, we demonstrate how elements of Generative Lexicon Theory (GL) can be used to help enrich both established and developing lexical and computational semantic resources within the CL community. This includes lexicons, ontologies, annotation schemes, and annotated corpora (WordNet, VerbNet, PropBank, FrameNet, AMR, GMB, SIMPLE, and others). The tutorial is organized into two parts. The first part aims to acquaint the audience – computational linguists, natural language engineers, and language resource developers – with the basic assumptions and components of the theory and motivate theoretical decisions through evidence-based analysis over large linguistic datasets. We show how the theory models the interaction between lexical information and other components of grammar; in particular, how it mediates various problems in the mapping from lexical semantic representations to syntactic forms and, to a lesser extent, to pragmatic interpretation. We discuss the significant developments of the theory since the original statement in Pustejovsky (1995), including the elaboration of a general theory of semantic selection and semantic typing (Asher and Pustejovsky 2006, Pustejovsky 2011). Finally, we illustrate how the theory has drawn increasingly on the findings of corpus linguistics and distributional semantic analysis and procedures (Pustejovsky and Jezek, 2008, Pustejovsky and Rumshisky, 2008, Jezek and Quochi, 2010, Jezek and Vieu, 2014), thus creating a new dimension of evidence-based analysis and interpretation, which gives rise to an integration of empirical analysis and theoretical modeling. Some of the most difficult problems recently addressed by GL include: how to encode the dynamic interpretation of events and their participants (Pustejovsky 2013, Jezek and Pustejovsky 2015); the extension of the Telic qualia role to verbs, e.g., rationale and purpose clauses; how to