The aim of the study is to present a method of describing feminine forms (nouns referring to humans with female gender) in plWordNet and to indicate possible directions of its development. One of them could be increasing the quality of natural language processing (NLP), for which the resource is used. plWordNet as a relational dictionary is based on clustering lexical units into synonymous lexical units (synsets) connected by a network of morphosemantic relations. One of the relations at the unit level is the femininity relation, which is responsible for connecting feminine derivatives with their derivational base. The study presents various types of feminine forms along with their derivational mechanisms and possible interpretations. The authors describe the current methodological solutions in plWordNet. They also propose possible further developments, including expanding the list of relations, such as introducing a masculinity relation describing an increasingly common type of derivation: przedszkolanka => przedszkolanek ‘female kindergarten teacher => male kindergarten teacher,’ niania => nianiek ‘female nanny => male nanny.’ Currently, malarka ‘female painter’ is presented as being derived from the noun malarz ‘male painter,’ but another interpretation may suggest malować ‘to paint’ as the base for malarka. This approach makes it possible to introduce a change in the way derivational relations are described, from the current systematic recognition of feminine forms as derivatives from their masculine counterparts, to analogous systems where the base may be a verb that forms two mutational derivatives: feminine and masculine. Furthermore, it also enables to offer a description of neutral forms, which are currently becoming more widespread, e.g. malować ‘to paint’ => malarx ‘non-binary painter.’