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Predicates as Boxes in Bayesian Semantics for Natural Language.

, , , , and . NODALIDA, page 333-337. Linköping University Electronic Press, (2019)

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Two experiments for embedding Wordnet hierarchy into vector spaces., and . GWC, page 79-84. Global Wordnet Association, (2019)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)Predicates as Boxes in Bayesian Semantics for Natural Language., , , , and . NODALIDA, page 333-337. Linköping University Electronic Press, (2019)Grammaires phrastiques et discursives fondées sur les TAG : une approche de D-STAG avec les ACG., , and . TALN (long papers), page 158-169. ATALA, (2015)Self-Training for Compositional Neural NLG in Task-Oriented Dialogue., , , and . INLG, page 87-102. Association for Computational Linguistics, (2021)A Computational Treatment of Anaphora and Its Algorithmic Implementation., , and . J. Log. Lang. Inf., 30 (1): 1-29 (2021)Bayesian Inference Semantics: A Modelling System and A Test Suite., , , , and . *SEM@NAACL-HLT, page 263-272. Association for Computational Linguistics, (2019)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)