© Springer International Publishing Switzerland 2016. In this paper, we propose a top-down approach for converting business processes information from corporate documents into controlled language. This proposal is achieved with a multi-level methodology. We first characterize document structure by using rhetorical analysis to determine relevant sections for information extraction. Then, a verb-centered event analysis is performed to start defining the typical patterns featured by business processes information. Lastly, morpho-syntactic and dependency parsing is carried out for extracting this information. This multi-level knowledge is used to define rules for converting the extracted sentences into a controlled language, which is intended to be used in software requirements elicitation.
|Nombre||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|ISSN (versión impresa)||0302-9743|
|Conferencia||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Período||1/01/16 → …|