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The world of pronouns is changing. From a closed class of words with fewmembers to a much more open set of terms to reflect identities. However,Natural Language Processing (NLP) is barely reflecting this linguistic shift,even though recent work outlined the harms of gender-exclusive languagetechnology. Particularly problematic is the current modeling 3rd personpronouns, as it largely ignores various phenomena like neopronouns, i.e.,pronoun sets that are novel and not (yet) widely established. This omissioncontributes to the discrimination of marginalized and underrepresented groups,e.g., non-binary individuals. However, other identity-expression phenomenabeyond gender are also ignored by current NLP technology. In this paper, weprovide an overview of 3rd person pronoun issues for NLP. Based on ourobservations and ethical considerations, we define a series of desiderata formodeling pronouns in language technology. We evaluate existing and novelmodeling approaches w.r.t. these desiderata qualitatively, and quantify theimpact of a more discrimination-free approach on established benchmark data.

Welcome to the Modern World of Pronouns: Identity-Inclusive Natural Language Processing beyond Gender