Deep semantic analysis of text

Abstract

We describe a graphical logical form as a semantic representation for text understanding. This representation was designed to bridge the gap between highly expressive "deep" representations of logical forms and more shallow semantic encodings such as word senses and semantic relations. It preserves rich semantic content while allowing for compact ambiguity encoding and viable partial representations. We describe our system for semantic text processing, which has the TRIPS parser at the core, augmented with statistical preprocessing techniques and online lexical lookup. We also present an evaluation metric for the representation and use it to evaluate the performance of the TRIPS parser on the common task paragraphs.