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Neural Methodius Revisited: Do Discourse Relations Help with Pre-Trained Models Too?

, , , and . INLG, page 12-23. Association for Computational Linguistics, (2021)

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A Proof System for Dialogical Anaphora Resolution., , , and . AI³@AI*IA, volume 3354 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)Logical Foundations for Hybrid Type-Logical Grammars., and . J. Log. Lang. Inf., 31 (1): 35-76 (2022)Lorenzen Won the Game, Lorenz Did Too: Dialogical Logic for Ellipsis and Anaphora Resolution., and . WoLLIC, volume 13038 of Lecture Notes in Computer Science, page 269-286. Springer, (2021)Neural Methodius Revisited: Do Discourse Relations Help with Pre-Trained Models Too?, , , and . INLG, page 12-23. Association for Computational Linguistics, (2021)Neural NLG for Methodius: From RST Meaning Representations to Texts., , , , and . INLG, page 306-315. Association for Computational Linguistics, (2020)Self-Training for Compositional Neural NLG in Task-Oriented Dialogue., , , and . INLG, page 87-102. Association for Computational Linguistics, (2021)Logical foundations for hybrid type-logical grammars., and . CoRR, (2020)Generating Discourse Connectives with Pre-trained Language Models: Conditioning on Discourse Relations Helps Reconstruct the PDTB., , , and . SIGDIAL, page 500-515. Association for Computational Linguistics, (2022)Proof-Theoretic Aspects of Hybrid Type-Logical Grammars., and . FG, volume 11668 of Lecture Notes in Computer Science, page 84-100. Springer, (2019)