Syntactic parsing is a process of uncovering the internal structure of sentences, in particular, a process of establishing what the constituents are of a given sentence and what the relations are between them. This is an important task in natural language processing. Recent advances in the field of Lexical semantics include the development of open online ontologies describing the use, meaning, and functions of words. WordNet, VerbNet, PropBank are only a few of the currently available resources. The arrival of these large scale lexical databases brings new opportunities of refining modern parsing technology. Indeed, wide-coverage systematic lexico-semantic information is available and ready to use. In this project, we look to bring automated reasoning built on lexical knowledge into language processing. In particular, we explore how information available via WordNet and VerbNet can enhance solutions to resolving prepositional phrase attachment – a notorious problem in syntactic parsing.