Abstract
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.
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Notes
- 1.
This work has been partly funded by the University of Medellin’s Research Vice-provost’s Office, Wake Forest University, and National University of Colombia, under the project: “Defining a Specific-Domain Controlled Language: Linguistic and Transformational Bases from Corporate Documents in Natural Language”.
- 2.
A controlled natural language is a sub-language of the corresponding natural language [2].
- 3.
UN-Lencep is the Spanish acronym for ‘National University of Colombia—Controlled language for the specification of pre-conceptual models.
- 4.
We used Freeling (http://nlp.lsi.upc.edu/freeling/) for dependency parsing.
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Manrique-Losada, B., Zapata-Jaramillo, C.M., Burgos, D.A. (2016). Re-expressing Business Processes Information from Corporate Documents into Controlled Language. In: Métais, E., Meziane, F., Saraee, M., Sugumaran, V., Vadera, S. (eds) Natural Language Processing and Information Systems. NLDB 2016. Lecture Notes in Computer Science(), vol 9612. Springer, Cham. https://doi.org/10.1007/978-3-319-41754-7_37
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