Natural language (NL) is prevalent in the Requirements Engineering (RE) field (a major subfield in Software Engineering). RE is embedded within a diverse organizational context, where engineers may have to interact with people from different domains and backgrounds such as legal experts, bank managers, system analysts, software developers, etc. While using NL creates a common understanding among those stakeholders, it comes with the cost of having to process a considerable amount of text spanning over hundreds of pages. To alleviate this problem, engineers may use NLP tools to extract and categorize useful information automatically. The question is, then, to what extent are current NLP off-the-shelf tools usable?
In this talk, I will discuss two different project scopes where requirements engineers need NLP technologies: (i) early quality assurance of critical systems in order to avoid serious implications that might be caused by ambiguous, inconsistent or incomplete requirements; (ii) readability level and compliance verification of legal artifacts (e.g., privacy policies) according to international regulations such as the General Data Protection Regulation (GDPR) enforced in Europe.
Time: Monday, 26th of August 2019, 6:30 p.m. sharp
Location: Oesterreichisches Forschungsinstitut fuer Artificial Intelligence (OFAI), Freyung 6, Stiege 6, 1010 Wien
