- Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation. ACL 2019. [PDF]
- Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. ACL 2019. [PDF]
- Sentence-Level Content Planning and Style Specification for Neural Text Generation. EMNLP 2019. [PDF]
- Denoising-based Sequence-to-Sequence Pre-training for Text Generation. EMNLP 2019. [PDF]
- A Graph-to-Sequence Model for AMR-to-Text Generation. ACL 2018. [PDF]
- Controlling Global Statistics in Recurrent Neural Network Text Generation. AAAI 2018. [PDF]
- Long Text Generation via Adversarial Training with Leaked Information. AAAI 2018. [PDF]
- Order-Planning Neural Text Generation From Structured Data. AAAI 2018. [PDF]
- Table-to-text Generation by Structure-aware Seq2seq Learning. AAAI 2018. [PDF]
- Data-to-Text Generation with Content Selection and Planning. AAAI 2019. [PDF]
- Hierarchical Encoder with Auxiliary Supervision for Table-to-text Generation: Learning Better Representation for Tables. AAAI 2019. [PDF]
- ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexicallyconstrained Neural Machine Translation. AAAI 2019. [PDF]
- Differentiated Distribution Recovery for Neural Text Generation. AAAI 2019. [PDF]
- A Topic Augmented Text Generation Model: Joint Learning of Semantics and Structural Features. EMNLP 2019. [PDF]
- ARAML: A Stable Adversarial Training Framework for Text Generation. EMNLP 2019. [PDF]
- Deep Copycat Networks for Text-to-Text Generation. EMNLP 2019. [PDF]
- Enhancing AMR-to-Text Generation with Dual Graph Representations. EMNLP 2019. [PDF]
- Enhancing Neural Data-To-Text Generation Models with External Background Knowledge. EMNLP 2019. [PDF]
- Enhancing Recurrent Variational Autoencoders with Mutual Information Estimation for Text Generation. EMNLP 2019. [PDF]
- Implicit Deep Latent Variable Models for Text Generation. EMNLP 2019. [PDF]
- Long and Diverse Text Generation with Planning-based Hierarchical Variational Model. EMNLP 2019. [PDF]
- Modeling Graph Structure in Transformer for Better AMR-to-Text Generation. EMNLP 2019. [PDF]
- MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance. EMNLP 2019. [PDF]
- Neural data-to-text generation: A comparison between pipeline and end-to-end architectures. EMNLP 2019. [PDF]
- Select and Attend: Towards Controllable Content Selection in Text Generation. EMNLP 2019. [PDF]
- Table-to-Text Generation with Effective Hierarchical Encoder on Three dimensions (Row, Column and Time). EMNLP 2019. [PDF]
- Autoregressive Text Generation beyond Feedback Loops. EMNLP 2019. [PDF]