LOGICON: A System for Extracting Semantic Structure using Partial Parsing
Kais Dukes · Recent Advances in Natural Language Processing · 2009
Partial parsing is an established NLP technique used to perform syntactic analysis without generating a full constituent parse tree. This paper presents LOGICON, an endto-end system using partial parsing, which assigns novel semantic structures to natural language text. Evaluating against a test set of 500 previously unseen sentences, the system has an accuracy of 62.4% as measured by exact matching against the expected semantic output. Since partial parsing is used, the system is robust and will assign partial semantic structure to sentences it may not fully understand. As stochastic methods are not used, the system is deterministic and fast. A syntactic tagging scheme is proposed which is closely aligned to the corresponding semantics. The system was developed as part of a PhD research project, and was written to evaluate partial parsing as the first step to creating a full natural language question-answering system.