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A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations.

, , and . ACL/IJCNLP (1), page 6539-6550. Association for Computational Linguistics, (2021)

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Apprendre à représenter et à générer du texte en utilisant des mesures d'information. (Learning to represent and generate text using information measures).. Polytechnic Institute of Paris, France, (2021)Affect-Driven Dialog Generation., , , , and . NAACL-HLT (1), page 3734-3743. Association for Computational Linguistics, (2019)The Glass Ceiling of Automatic Evaluation in Natural Language Generation., , , , and . CoRR, (2022)Unsupervised Layer-wise Score Aggregation for Textual OOD Detection., , , , , and . CoRR, (2023)SaulLM-7B: A pioneering Large Language Model for Law., , , , , , , , , and 1 other author(s). CoRR, (2024)A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations., , and . ACL/IJCNLP (1), page 6539-6550. Association for Computational Linguistics, (2021)NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation., , , , , , , , , and 115 other author(s). CoRR, (2021)The importance of fillers for text representations of speech transcripts., , , and . EMNLP (1), page 7985-7993. Association for Computational Linguistics, (2020)xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection., , , , , and . CoRR, (2023)What are the best Systems? New Perspectives on NLP Benchmarking., , , and . NeurIPS, (2022)