Computational Modelling of Structural Priming in Dialogue

By David Reitter, Frank Keller, Johanna D. Moore. 2006

111 citations recorded by the source corpus.

Syntactic priming effects, modelled as increase in repetition probability shortly after a use of a syntactic rule, have the potential to improve language processing components. We model priming of syntactic rules in annotated corpora of spoken dialogue, extending previous work that was confined to selected constructions. We find that speakers are more receptive to priming from their interlocutor in task-oriented dialogue than in spona-neous conversation. Low-frequency rules are more likely to show priming.

Subfields: Artificial Intelligence, Cognitive Neuroscience, Language and Linguistics, Natural Language Processing

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Citations in the corpus

Structure-to-Text Generation with Self-Training, Acceptability Classifiers and Context-Conditioning for the GEM Shared Task (2021, background): “…(2005) showed that cache-based language models can be used to adapt NLG systems to align with user’s language, while subsequent work investigated structural priming more speciﬁ-cally (Reitter et al., 2006) and the impact of such adaptation in deployed dialog systems (Stoyanchev and Stent, 2009).”
A Context-aware Natural Language Generator for Dialogue Systems (2016, background): “There have been several attempts at modelling entrainment in dialogue (Brockmann et al., 2005; Reitter et al., 2006; Buschmeier et al., 2010) and even successful implementations of entrainment models in NLG systems for SDS, where entrainment caused an increase in perceived naturalness of the system…”
Sequence Effects in Crowdsourced Annotations (2017, background): “We limited our scope to binary and continuous responses, however it is likely that sequence effects are prevalent for multinomial and structured outputs, e.g., in discourse and parsing, where priming is known to have a signiﬁcant effect (Reitter et al., 2006).”
A Context-aware Natural Language Generation Dataset for Dialogue Systems (2016, background): “Speakers are primed (influenced) by previous utterances (Reitter et al., 2006) and tend to reuse vocabulary, syntactic structure, and prosody (Levitan, 2014) (see Figure 3).”
Priming of Syntactic Rules in Task-Oriented Dialogue and Spontaneous Conversation (2006, background): “A preliminary version of Experiment 5 on separately sampled data has been described in Reitter et al. (2006).”