Attribution and Alignment: Effects of Local Context Repetition on Utterance Production and Comprehension in Dialogue

Molnar, Aron, Jumelet, Jaap, Giulianelli, Mario, Sinclair, Arabella

arXiv.org Artificial Intelligence 

While excessive levels of repetition, Human production in dialogue is influenced by designed to mimic alignment, can hinder naturalness many factors within the recent conversational (Isard et al., 2006; Foster et al., 2009), humans history, leading speakers to repeat recently used generally prefer generated dialogue that contains lexical and structural elements of their own higher levels of alignment (Lopes et al., 2015; and their partners' language. These factors can Hu et al., 2016), which also lead to more successful involve conceptual pacts speakers make in order communication in human-human dialogue (Xi to establish common ground (Brennan and Clark, et al., 2021; Isard et al., 2006). Moreover, elements 1996), priming of lexical or syntactic cues which of alignment have been successfully incorporated influences their subsequent re-use (Bock, 1986), in chat bots (Hoegen et al., 2019; Gao et al., 2019).