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Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts.

, , , , and . EMNLP (1), page 4350-4368. Association for Computational Linguistics, (2020)

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Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts., , , , and . EMNLP (1), page 4350-4368. Association for Computational Linguistics, (2020)Is Information Density Uniform in Task-Oriented Dialogues?, , and . EMNLP (1), page 8271-8283. Association for Computational Linguistics, (2021)AnaLog: Testing Analytical and Deductive Logic Learnability in Language Models., , , and . *SEM@NAACL-HLT, page 55-68. Association for Computational Linguistics, (2022)Does Ability Affect Alignment in Second Language Tutorial Dialogue?, , , and . SIGDIAL Conference, page 41-50. Association for Computational Linguistics, (2018)Do Language Models Exhibit Human-like Structural Priming Effects?, , and . CoRR, (2024)Linguistic and Gestural Coordination: Do Learners Converge in Collaborative Dialogue?, and . EDM, International Educational Data Mining Society, (2021)Tutorbot Corpus: Evidence of Human-Agent Verbal Alignment in Second Language Learner Dialogues., , , , and . EDM, International Educational Data Mining Society (IEDMS), (2019)Detecting Age-Related Linguistic Patterns in Dialogue: Toward Adaptive Conversational Systems., , , , and . CLiC-it, volume 3033 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Educational Programming Languages: The Motivation to Learn with Sonic Pi.. PPIG, page 10. Psychology of Programming Interest Group, (2014)Construction Repetition Reduces Information Rate in Dialogue., , and . AACL/IJCNLP (1), page 665-682. Association for Computational Linguistics, (2022)