Paper: Semantic Parsing Using Content and Context: A Case Study from Requirements Elicitation

ACL ID D14-1136
Title Semantic Parsing Using Content and Context: A Case Study from Requirements Elicitation
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014
Authors

We present a model for the automatic se- mantic analysis of requirements elicitation documents. Our target semantic repre- sentation employs live sequence charts, a multi-modal visual language for scenario- based programming, which can be directly translated into executable code. The ar- chitecture we propose integrates sentence- level and discourse-level processing in a generative probabilistic framework for the analysis and disambiguation of individual sentences in context. We show empiri- cally that the discourse-based model con- sistently outperforms the sentence-based model when constructing a system that re- flects all the static (entities, properties) and dynamic (behavioral scenarios) require- ments in the document.