| Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization | 0 | 0.34 | 2022 |
| Search and Learn: Improving Semantic Coverage for Data-to-Text Generation. | 0 | 0.34 | 2022 |
| Generalized Equivariance and Preferential Labeling for GNN Node Classification. | 0 | 0.34 | 2022 |
| Non-autoregressive Translation with Layer-Wise Prediction and Deep Supervision. | 0 | 0.34 | 2022 |
| Simulated annealing for optimization of graphs and sequences | 0 | 0.34 | 2021 |
| Wasserstein Autoencoders with Mixture of Gaussian Priors for Stylized Text Generation. | 0 | 0.34 | 2021 |
| A Globally Normalized Neural Model For Semantic Parsing | 0 | 0.34 | 2021 |
| Simulated Annealing for Emotional Dialogue Systems | 0 | 0.34 | 2021 |
| Seq2Emo: A Sequence to Multi-Label Emotion Classification Model | 0 | 0.34 | 2021 |
| Adversarial Learning on the Latent Space for Diverse Dialog Generation. | 0 | 0.34 | 2020 |
| Formality Style Transfer with Shared Latent Space. | 0 | 0.34 | 2020 |
| Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction | 0 | 0.34 | 2020 |
| Unsupervised Text Generation by Learning from Search | 0 | 0.34 | 2020 |
| Treegen: A Tree-Based Transformer Architecture For Code Generation | 2 | 0.35 | 2020 |
| Stylized Text Generation - Approaches and Applications. | 0 | 0.34 | 2020 |
| Finding decision jumps in text classification. | 1 | 0.34 | 2020 |
| Iterative Edit-Based Unsupervised Sentence Simplification | 0 | 0.34 | 2020 |
| Discreteness in Neural Natural Language Processing. | 0 | 0.34 | 2019 |
| Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer | 2 | 0.35 | 2019 |
| Distilling Task-Specific Knowledge from BERT into Simple Neural Networks. | 6 | 0.39 | 2019 |
| Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation. | 0 | 0.34 | 2019 |
| Disentangled Representation Learning for Text Style Transfer. | 0 | 0.34 | 2018 |
| Affective Neural Response Generation. | 11 | 0.49 | 2018 |
| Order-Planning Neural Text Generation From Structured Data | 5 | 0.43 | 2018 |
| RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems. | 8 | 0.46 | 2018 |
| Jumper: Learning When to Make Classification Decision in Reading. | 1 | 0.35 | 2018 |
| A Grammar-Based Structural CNN Decoder for Code Generation | 3 | 0.36 | 2018 |
| Modeling Past and Future for Neural Machine Translation. | 5 | 0.38 | 2018 |
| Variational Attention for Sequence-to-Sequence Models. | 3 | 0.39 | 2018 |
| Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models | 0 | 0.34 | 2018 |
| Progressive Memory Banks for Incremental Domain Adaptation. | 1 | 0.35 | 2018 |
| CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling | 2 | 0.37 | 2018 |
| Probabilistic Natural Language Generation with Wasserstein Autoencoders. | 0 | 0.34 | 2018 |
| Hierarchical RNN with Static Sentence-Level Attention for Text-Based Speaker Change Detection. | 3 | 0.46 | 2017 |
| Why Do Neural Dialog Systems Generate Short And Meaningless Replies? A Comparison Between Dialog And Translation | 1 | 0.35 | 2017 |
| Coupling Distributed and Symbolic Execution for Natural Language Queries. | 0 | 0.34 | 2017 |
| How To Make Context More Useful? An Empirical Study On Context-Aware Neural Conversational Models | 10 | 0.53 | 2017 |
| Natural Language Inference By Tree-Based Convolution And Heuristic Matching | 63 | 2.40 | 2016 |
| Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation | 21 | 0.73 | 2016 |
| Compressing Neural Language Models By Sparse Word Representations | 3 | 0.40 | 2016 |
| Convolutional Neural Networks over Tree Structures for Programming Language Processing. | 66 | 1.80 | 2016 |
| Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation. | 36 | 1.07 | 2016 |
| StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation. | 12 | 0.65 | 2016 |
| Context-Aware Tree-Based Convolutional Neural Networks for Natural Language Inference. | 1 | 0.36 | 2016 |
| How Transferable are Neural Networks in NLP Applications? | 41 | 1.52 | 2016 |
| Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths. | 110 | 2.88 | 2015 |
| Backbone Language Modeling for Constrained Natural Language Generation. | 0 | 0.34 | 2015 |
| A Comparative Study on Regularization Strategies for Embedding-based Neural Networks | 7 | 0.61 | 2015 |
| On End-to-End Program Generation from User Intention by Deep Neural Networks | 4 | 0.47 | 2015 |
| Building Program Vector Representations for Deep Learning. | 29 | 1.01 | 2015 |
