Semantic Parsing of Textual Requirements

Requirements are critical components in the industry, describing qualities that a product or a service needs to have. Most requirements are only available as natural language text embedded in a document. Working with textual requirements is getting increasingly difficult due to the growing number of requirements, and having the requirements available as structured data would be beneficial. However, the work required for the translation of natural language requirements into structured data is daunting. Thus, we need tools to aid in this process. In this Ph.D. project, we propose to use state-of-the-art knowledge extraction techniques and develop novel methods to identify the terms and relationships in a requirement and align them with an existing domain-ontology. To achieve this goal, we must overcome the difficulties in working with both domain-specific technical corpora and ontologies. Furthermore, existing tools and NLP models must be adapted to the domain.