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SPARQL-to-Text Question Generation for Knowledge-Based Conversational Applications.

, , , and . AACL/IJCNLP (1), page 131-147. Association for Computational Linguistics, (2022)

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WikiFactDiff: A Large, Realistic, and Temporally Adaptable Dataset for Atomic Factual Knowledge Update in Causal Language Models., , , , and . LREC/COLING, page 17614-17624. ELRA and ICCL, (2024)Recommandation d'âge pour des textes (Age recommendation for texts)., , , and . JEP-TALN-RECITAL (2), page 164-171. ATALA et AFCP, (2020)TREMoLo : un corpus multi-étiquettes de tweets en français pour la caractérisation des registres de langue (TREMoLo : a Multi-Label Corpus of French Tweets for Language Register Characterization)., , , and . TALN (1), page 237-245. ATALA, (2021)Style as Sentiment Versus Style as Formality: The Same or Different?, , , and . ICANN (5), volume 12895 of Lecture Notes in Computer Science, page 487-499. Springer, (2021)A (Psycho-)Linguistically Motivated Scheme for Annotating and Exploring Emotions in a Genre-Diverse Corpus., , and . LREC, page 603-612. European Language Resources Association, (2022)KGConv, a Conversational Corpus Grounded in Wikidata., , , and . LREC/COLING, page 9732-9742. ELRA and ICCL, (2024)Identification de descripteurs pour la caractérisation de registres., , , and . CORIA, ARIA, (2018)Age Recommendation for Texts., , , and . LREC, page 1431-1439. European Language Resources Association, (2020)CoQAR: Question Rewriting on CoQA., , and . LREC, page 119-126. European Language Resources Association, (2022)Ajout automatique de disfluences pour la synthèse de la parole spontanée : formalisation et preuve de concept (Automatic disfluency insertion towards spontaneous TTS : formalization and proof of concept)., , , and . TALN, page 1-15. ATALA, (2017)