Natural language processing has been proposed and applied to support a variety of tasks in requirements engineering. While shallow semantic allows to address many of the challenges, to further automatize requirements analysis a full understanding of textual requirements is needed. To this end, the future generation of natural language processing systems needs a deep semantics, that is a representation of the content independent of the surface description, which represents hidden casual, spatial, temporal and modal connections.
Which Semantics for Requirements Engineering: from Shallow to Deep / Garigliano, Roberto; Perini, Dominic; Mich, Luisa. - 2075:(2018), pp. 1-5. (Intervento presentato al convegno NLP4RE: 1st Workshop on Natural Language Processing for Requirements Engineering tenutosi a Utrecht, The Netherlands nel 19th March 2018).
Which Semantics for Requirements Engineering: from Shallow to Deep
Roberto Garigliano;Luisa Mich
2018-01-01
Abstract
Natural language processing has been proposed and applied to support a variety of tasks in requirements engineering. While shallow semantic allows to address many of the challenges, to further automatize requirements analysis a full understanding of textual requirements is needed. To this end, the future generation of natural language processing systems needs a deep semantics, that is a representation of the content independent of the surface description, which represents hidden casual, spatial, temporal and modal connections.| File | Dimensione | Formato | |
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