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conftrace_

data-to-text generation

87 papers

Papers

Plan-then-Generate: Controlled Data-to-Text Generation via Planning EMNLP 2021 Trainable Ranking Models to Evaluate the Semantic Accuracy of Data-to-Text Neural Generator EMNLP 2021 TWT: Table with Written Text for Controlled Data-to-Text Generation EMNLP 2021 Bridging the Structural Gap Between Encoding and Decoding for Data-To-Text Generation ACL 2020 Controlled Hallucinations: Learning to Generate Faithfully from Noisy Data EMNLP 2020 Data-to-Text Generation with Style Imitation EMNLP 2020 KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation EMNLP 2020 Learning Semantic Correspondences from Noisy Data-text Pairs by Local-to-Global Alignments COLING 2020 Learning with Contrastive Examples for Data-to-Text Generation COLING 2020 Make Templates Smarter: A Template Based Data2Text System Powered by Text Stitch Model EMNLP 2020 Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence ACL 2020 NILC at SR’20: Exploring Pre-Trained Models in Surface Realisation COLING 2020 Partially-Aligned Data-to-Text Generation with Distant Supervision EMNLP 2020 Referring to what you know and do not know: Making Referring Expression Generation Models Generalize To Unseen Entities COLING 2020 Reinforcement Learning with Imbalanced Dataset for Data-to-Text Medical Report Generation EMNLP 2020 Sentence Generation for Entity Description with Content-Plan Attention AAAI 2020 Variational Template Machine for Data-to-Text Generation ICLR 2020 Creating a Corpus for Russian Data-to-Text Generation Using Neural Machine Translation and Post-Editing ACL 2019 Data-to-Text Generation with Content Selection and Planning AAAI 2019 Data-to-text Generation with Entity Modeling ACL 2019 Enhanced Transformer Model for Data-to-Text Generation EMNLP 2019 Enhancing Neural Data-To-Text Generation Models with External Background Knowledge EMNLP 2019 Learning to Select, Track, and Generate for Data-to-Text ACL 2019 Long and Diverse Text Generation with Planning-based Hierarchical Variational Model EMNLP 2019 Neural data-to-text generation: A comparison between pipeline and end-to-end architectures EMNLP 2019