A　challenge　in　requirements　elicitation　is　to　identify　quality　requirements,　i.e.　non-functional　requirements　(hereafter,　NFR).　In　general,　stakeholders　need　NFRs,　but　these　requirements　are　not　always　explicit,　they　can　be　part　of　the　tacit　knowledge.　The　usual　strategy　adopted　by　requirements　engineers　to　elicit　NFRs　is　to　act　proactively　by　asking　stakeholders　their　interests　in　qualities　based　on　lists　or　catalogs.　NFRFinder　is　a　semi-automated　process　strategy　for　mining　keywords.　The　strategy　uses　the　keywords　to　find　possible　NFRs　in　unstructured　texts,　e.g.　the　meeting　minutes　that　occur　during　an　elicitation　task.　The　strategy　relies　on　catalogs,　according　to　the　NFR　Framework,　as　a　supporting　knowledge　base.　However,　to　gain　more　confidence　on　the　NFRFinder,　we　have　applied　it　to　a　set　of　structured　texts.　We　report　on　the　recall　and　precision　of　NFRFinder　using　a　gold　standard　built　from　different　actors,　for　requirements　sentences.　The　results　are　promising,　and　we　point　out　towards　the　evolution　of　NFRFinder.