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Natural Language Generation : From Data Creation to Evaluation via Modelling ; Génération en langue naturelle : de la création des données à l'évaluation, en passant par la modélisation
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In: https://hal.univ-lorraine.fr/tel-03254708 ; Computation and Language [cs.CL]. Université de Lorraine, 2021. English. ⟨NNT : 2021LORR0080⟩ (2021)
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TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning ...
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CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization ...
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IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation ...
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End-to-end style-conditioned poetry generation: What does it take to learn from examples alone? ...
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Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach ...
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A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference Resolution. ...
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Benchmarking Meta-embeddings: What Works and What Does Not ...
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The statistical advantage of automatic NLG metrics at the system level ...
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QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions ...
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Paraphrase Generation: A Survey of the State of the Art ...
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Measuring Association Between Labels and Free-Text Rationales ...
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Coupling Context Modeling with Zero Pronoun Recovering for Document-Level Natural Language Generation ...
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Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation ...
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VisualSem: a high-quality knowledge graph for vision and language ...
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Entity-Based Semantic Adequacy for Data-to-Text Generation ...
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Parallel Refinements for Lexically Constrained Text Generation with BART ...
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