/Text-Generation-Paper-List

An actively maintained paper list of text generation including various topics: Controlled text generation, key phrase generation, data-to-text generation, dialogue, story telling, commonsense text generation, simplification, paraphrase generation, long text generation, argumentation, evaluation, generic techniques, and etc.

Text Generation Paper List

General benchmark

Summarization

Link to summarization paper/resource list

Text style transfer

Link to style transfer paper/resource list

Question generation

Link to quesiton generation paper list

Grammar error correction

Link to leaderboard of GEC systems

(Controlled) Open-ended text generation

  • A Distributional Approach to Controlled Text Generation. ICLR-2021. paper
  • DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts. ACL-2021. paper
  • A Theoretical Analysis of the Repetition Problem in Text Generation. AAAI-2021. paper
  • Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet. AAAI-2021. paper
  • Perception Score, A Learned Metric for Open-ended Text Generation Evaluation. AAAI-2021. paper
  • Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification. ICML-2021. paper
  • FUDGE: Controlled Text Generation With Future Discriminators. NAACL-2021. paper
  • APo-VAE: Text Generation in Hyperbolic Space. NAACL-2021. paper
  • Implicit Unlikelihood Training: Improving Neural Text Generation with Reinforcement Learning. EACL-2021. paper
  • CoCon: A Self-Supervised Approach for Controlled Text Generation. ICLR-2021. paper
  • F^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax. EMNLP-2020. paper
  • Plug and Play Language Models: A Simple Approach to Controlled Text Generation. ICLR-2020. paper
  • Adapting a Language Model for Controlled Affective Text Generation. COLING-2020. paper
  • Exploring Controllable Text Generation Techniques. COLING-2020. paper
  • Improving Adversarial Text Generation by Modeling the Distant Future. ACL-2020. paper
  • Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders. ACL-2020. paper
  • Learning Implicit Text Generation via Feature Matching. ACL-2020. paper
  • Residual Energy-Based Models for Text Generation. ICLR-2020. paper
  • Self-Adversarial Learning with Comparative Discrimination for Text Generation. ICLR-2020. paper
  • CatGAN: Category-aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation. AAAI-2020. paper
  • Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation. AAAI-2020. paper
  • A Topic Augmented Text Generation Model: Joint Learning of Semantics and Structural Features. EMNLP-2019. paper
  • ARAML: A Stable Adversarial Training Framework for Text Generation. EMNLP-2019. paper
  • Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation. EMNLP-2019. paper
  • Keeping Consistency of Sentence Generation and Document Classification with Multi-Task Learning. EMNLP-2019. paper
  • FlowPrior: Learning Expressive Priors for Latent Variable Sentence Models. EMNLP-2019. paper
  • Autoregressive Text Generation Beyond Feedback Loops. EMNLP-2019. paper
  • Curate and Generate: A Corpus and Method for Joint Control of Semantics and Style in Neural NLG. ACL-2019. paper
  • RelGAN: Relational Generative Adversarial Networks for Text Generation. ICLR-2019. paper
  • Constrained Generation via Metropolis-Hastings Sampling. AAAI-2019. paper
  • Differentiated Distribution Recovery for Neural Text Generation. AAAI-2019. paper
  • Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation. NAACL-2019. paper
  • Topic-Guided Variational Auto-Encoder for Text Generation. NAACL-2019. paper

Keyphrase generation

  • Select, Extract and Generate: Neural Keyphrase Generation with Layer-wise Coverage Attention. ACL-2021. paper
  • One2Set: Generating Diverse Keyphrases as a Set. ACL-2021. paper
  • SGG: Learning to Select, Guide, and Generate for Keyphrase Generation. NAACL-2021. paper
  • An Empirical Study on Neural Keyphrase Generation. NAACL-2021. paper
  • Adaptive Beam Search Decoding for Discrete Keyphrase Generation. AAAI-2021. paper
  • A Preliminary Exploration of GANs for Keyphrase Generation. EMNLP-2020. paper
  • Diverse Keyphrase Generation with Neural Unlikelihood Training. COLING-2020. paper
  • One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases. ACL-2020. paper
  • Keyphrase Generation for Scientific Document Retrieval. ACL-2020. paper
  • Exclusive Hierarchical Decoding for Deep Keyphrase Generation. ACL-2020. paper
  • Keyphrase Generation for Scientific Articles Using GANs. AAAI-2020. paper
  • An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction. NAACL-19. paper
  • Incorporating Linguistic Constraints into Keyphrase Generation. ACL-2019. paper
  • Topic-Aware Neural Keyphrase Generation for Social Media Language. ACL-2019. paper
  • Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards. ACL-2019. paper
  • Title-Guided Encoding for Keyphrase Generation. AAAI-2019. paper
  • Keyphrase Generation: A Text Summarization Struggle. NAACL-2019. paper

Data/Structure-to-text generation

  • DART: Open-Domain Structured Data Record to Text Generation. NAACL-2021. paper
  • Conditional Generation of Temporally-ordered Event Sequences. ACL-2021. paper
  • Improving Encoder by Auxiliary Supervision Tasks for Table-to-Text Generation. ACL-2021. paper
  • De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation. ACL-2021. paper
  • AggGen: Ordering and Aggregating while Generating. ACL-2021. paper
  • DESCGEN: A Distantly Supervised Datasetfor Generating Entity Descriptions. ACL-2021. paper
  • XLPT-AMR: Cross-Lingual Pre-Training via Multi-Task Learning for Zero-Shot AMR Parsing and Text Generation. ACL-2021. paper
  • AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation. ACL-2021. paper
  • Towards Table-to-Text Generation with Numerical Reasoning. ACL-2021. paper
  • On Training Instance Selection for Few-Shot Neural Text Generation. ACL-2021. paper
  • How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? ACL-2021. paper
  • Avoiding Overlap in Data Augmentation for AMR-to-Text Generation. ACL-2021. paper
  • Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques. ACL-2021. paper
  • Generating Landmark Navigation Instructions from Maps as a Graph-to-Text Problem. ACL-2021. paper
  • Neural Data-to-Text Generation with LM-based Text Augmentation. EACL-2021. paper
  • Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning. EACL-2021. paper
  • Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR. EACL-2021. paper
  • Incremental Beam Manipulation for Natural Language Generation. EACL-2021. paper
  • On Hallucination and Predictive Uncertainty in Conditional Language Generation. EACL-2021. paper
  • Generating Weather Comments from Meteorological Simulations. EACL-2021. paper
  • Aspect-Level Sentiment-Controllable Review Generation with Mutual Learning Framework. AAAI-2021. paper
  • Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View. AAAI-2021. paper
  • Fact-Enhanced Synthetic News Generation. AAAI-2021. paper
  • Gradient-guided Unsupervised Lexically Constrained Text Generation. EMNLP-2020. paper
  • Multilingual AMR-to-Text Generation. EMNLP-2020. paper
  • ToTTo: A Controlled Table-To-Text Generation Dataset. EMNLP-2020. paper
  • An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing. EMNLP-2020. paper
  • KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation. EMNLP-2020. paper
  • ENT-DESC: Entity Description Generation by Exploring Knowledge Graph. EMNLP-2020. paper
  • Online Back-Parsing for AMR-to-Text Generation. EMNLP-2020. paper
  • Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation. EMNLP-2020. paper
  • Partially-Aligned Data-to-Text Generation with Distant Supervision. EMNLP-2020. paper
  • Selection and Generation: Learning towards Multi-Product Advertisement Post Generation. EMNLP-2020. paper
  • A Human Evaluation of AMR-to-English Generation Systems. COLING-2020. paper
  • Building Hierarchically Disentangled Language Models for Text Generation with Named Entities. COLING-2020. paper
  • Dynamic Topic Tracker for KB-to-Text Generation. COLING-2020. paper
  • Facts2Story: Controlling Text Generation by Key Facts. COLING-2020. paper
  • Generalized Shortest-Paths Encoders for AMR-to-Text Generation. COLING-2020. paper
  • TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching. COLING-2020. paper
  • Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity. COLING-2020. paper
  • Learning with Contrastive Examples for Data-to-Text Generation. COLING-2020. paper
  • MedWriter: Knowledge-Aware Medical Text Generation. COLING-2020. paper
  • Retrieval-Augmented Controllable Review Generation. COLING-2020. paper
  • Bridging the Structural Gap Between Encoding and Decoding for Data-To-Text Generation. ACL-2020. paper
  • Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks. ACL-2020. paper
  • Logical Natural Language Generation from Open-Domain Tables. ACL-2020. paper
  • Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence. ACL-2020. paper
  • Posterior Control of Blackbox Generation. ACL-2020. paper
  • Two Birds, One Stone: A Simple, Unified Model for Text Generation from Structured and Unstructured Data. ACL-2020. paper
  • GPT-too: A language-model-first approach for AMR-to-text generation. ACL-2020. paper
  • Towards Unsupervised Language Understanding and Generation by Joint Dual Learning. ACL-2020. paper
  • Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. ACL-2020. paper
  • Structural Information Preserving for Graph-to-Text Generation. ACL-2020. paper
  • TAG: Type Auxiliary Guiding for Code Comment Generation. ACL-2020. paper
  • RDF-to-Text Generation with Graph-augmented Structural Neural Encoders. IJCAI-2020. paper
  • Better AMR-To-Text Generation with Graph Structure Reconstruction. IJCAI-2020. paper
  • Infobox-to-text Generation with Tree-like Planning based Attention Network. IJCAI-2020. paper
  • Triple-to-Text Generation with an Anchor-to-Prototype Framework. IJCAI-2020. paper
  • Sentence Generation for Entity Description with Content-Plan Attention. AAAI-2020. paper
  • Variational Template Machine for Data-to-Text Generation. ICLR-2020. paper
  • Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs. TACL-2020. paper
  • AMR-To-Text Generation with Graph Transformer. TACL-2020. paper
  • Open Domain Event Text Generation. AAAI-2020. paper
  • Enhancing AMR-to-Text Generation with Dual Graph Representations. EMNLP-2019. paper
  • Enhancing Neural Data-To-Text Generation Models with External Background Knowledge. EMNLP-2019. paper
  • Modeling Graph Structure in Transformer for Better AMR-to-Text Generation. EMNLP-2019. paper
  • Neural data-to-text generation: A comparison between pipeline and end-to-end architectures. EMNLP-2019. paper
  • Select and Attend: Towards Controllable Content Selection in Text Generation. EMNLP-2019. paper
  • Set to Ordered Text: Generating Discharge Instructions from Medical Billing Codes. EMNLP-2019. paper
  • Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation. EMNLP-2019. paper
  • Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time). EMNLP-2019. paper
  • Towards Controllable and Personalized Review Generation. EMNLP-2019. paper
  • Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding. ACL-2019. paper
  • Enhance Topic-to-Essay Generation with External Commonsense Knowledge. ACL-2019. paper
  • Data-to-text Generation with Entity Modeling. ACL-2019. paper
  • Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation. ACL-2019. paper
  • Dual Supervised Learning for Natural Language Understanding and Generation. ACL-2019. paper
  • Learning to Select, Track, and Generate for Data-to-Text. ACL-2019. paper
  • Towards Comprehensive Description Generation from Factual Attribute-value Tables. ACL-2019. paper
  • Hierarchical Encoder with Auxiliary Supervision for Table-to-text Generation: Learning Better Representation for Tables. AAAI-2019. paper
  • Generating Live Soccer-Match Commentary from Play Data. AAAI-2019. paper
  • Data-to-Text Generation with Content Selection and Planning. AAAI-2019. paper
  • Multi-Agent Discussion Mechanism for Natural Language Generation. AAAI-2019. paper
  • Neural Text Generation from Rich Semantic Representations. NAACL-2019. paper
  • Separating Planning from Realization in Neural Data to Text Generation. NAACL-2019. paper
  • Structural Neural Encoders for AMR-to-text Generation. NAACL-2019. paper
  • Text Generation from Knowledge Graphs. NAACL-2019. paper
  • Text Generation with Exemplar-based Adaptive Decoding. NAACL-2019. paper

Dialogue generation

  • APo-VAE: Text Generation in Hyperbolic Space. NAACL-2021. paper
  • Diversifying Dialog Generation via Adaptive Label Smoothing. ACL-2021. paper
  • Neural Stylistic Response Generation with Disentangled Latent Variables. ACL-2021. paper
  • Learning from Perturbations: Diverse and Informative Dialogue Generation with Inverse Adversarial Training. ACL-2021. paper
  • Space Efficient Context Encoding for Non-Task-Oriented Dialogue Generation with Graph Attention Transformer. ACL-2021. paper
  • Generating Relevant and Coherent Dialogue Responses using Self-Separated Conditional Variational AutoEncoders. ACL-2021. paper
  • Modelling Context Emotions using Multi-task Learning for Emotion Controlled Dialog Generation. EACL-2021. paper
  • SARG: A Novel Semi Autoregressive Generator for Multi-turn Incomplete Utterance Restoration. AAAI-2021. paper
  • Reasoning in Dialog: Improving Response Generation by Context Reading Comprehension. AAAI-2021. paper
  • Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation. AAAI-2021. paper
  • More the Merrier: Towards Multi-Emotion and Intensity Controllable Response Generation. AAAI-2021. paper
  • A Controllable Model of Grounded Response Generation. AAAI-2021. paper
  • CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts. AAAI-2021. paper
  • Stylized Dialogue Response Generation Using Stylized Unpaired Texts. AAAI-2021. paper
  • Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation. AAAI-2021. paper
  • DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances. AAAI-2021. paper
  • Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. EMNLP-2020. paper
  • MIME: MIMicking Emotions for Empathetic Response Generation. EMNLP-2020. paper
  • Sparse Text Generation. EMNLP-2020. paper
  • Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks. EMNLP-2020. paper
  • Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation. ENNLP-2020. paper
  • Knowledge-Grounded Dialogue Generation with Pre-trained Language Models. EMNLP-2020. paper
  • Cross Copy Network for Dialogue Generation. EMNLP-2020. paper
  • Counterfactual Off-Policy Training for Neural Response Generation. EMNLP-2020. paper
  • Regularizing Dialogue Generation by Imitating Implicit Scenarios. EMNLP-2020. paper
  • Generating Dialogue Responses from a Semantic Latent Space. EMNLP-2020. paper
  • Adversarial Learning on the Latent Space for Diverse Dialog Generation. EMNLP-2020. paper
  • Incomplete Utterance Rewriting as Semantic Segmentation. EMNLP-2020. paper
  • Diverse dialogue generation with context dependent dynamic loss function. COLING-2020. paper
  • EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation. COLING-2020. paper
  • PEDNet: A Persona Enhanced Dual Alternating Learning Network for Conversational Response Generation. COLING-2020. paper
  • Topic-relevant Response Generation using Optimal Transport for an Open-domain Dialog System. COLING-2020. paper
  • CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation. ACL-2020. paper
  • Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation. ACL-2020. paper
  • Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight. ACL-2020. paper
  • Diverse and Informative Dialogue Generation with Context-Specific Commonsense Knowledge Awareness. ACL-2020. paper
  • Diversifying Dialogue Generation with Non-Conversational Text. ACL-2020. paper
  • Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation. ACL-2020. paper
  • Generating Informative Conversational Response using Recurrent Knowledge-Interaction and Knowledge-Copy. ACL-2020. paper
  • Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs. ACL-2020. paper
  • Guiding Variational Response Generator to Exploit Persona. ACL-2020. paper
  • Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks. ACL-2020. paper
  • Negative Training for Neural Dialogue Response Generation. ACL-2020. paper
  • PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable. ACL-2020. paper
  • Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation. ACL-2020. paper
  • You Impress Me: Dialogue Generation via Mutual Persona Perception. ACL-2020. paper
  • USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation. ACL-2020. paper
  • Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation. ACL-2020. paper
  • Adaptively Multi-Objective Adversarial Training for Dialogue Generation. IJCAI-2020. paper
  • EmoElicitor: An Open Domain Response Generation Model with User Emotional Reaction Awareness. IJCAI-2020. paper
  • Exemplar Guided Neural Dialogue Generation. IJCAI-2020. paper
  • Modeling Topical Relevance for Multi-Turn Dialogue Generation. IJCAI-2020. paper
  • Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models. AAAI-2020. paper
  • Generating Persona Consistent Dialogues by Exploiting Natural Language Inference. AAAI-2020. paper
  • Knowledge Graph Grounded Goal Planning for Open-Domain Conversation Generation. AAAI-2020. paper
  • Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation. AAAI-2020. paper
  • A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data. AAAI-2020. paper
  • Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network. AAAI-2020. paper
  • Low-Resource Knowledge-Grounded Dialogue Generation. ICLR-2020. paper
  • DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. ICLR-2019. paper
  • A Discrete CVAE for Response Generation on Short-Text Conversation. EMNLP-2019. paper
  • A Semi-Supervised Stable Variational Network for Promoting Replier-Consistency in Dialogue Generation. EMNLP-2019. paper
  • Adaptive Parameterization for Neural Dialogue Generation. EMNLP-2019. paper
  • Attending to Future Tokens For Bidirectional Sequence Generation. EMNLP-2019. paper
  • Hierarchy Response Learning for Neural Conversation Generation. EMNLP-2019. paper
  • Implicit Deep Latent Variable Models for Text Generation. EMNLP-2019. paper
  • Low-Resource Response Generation with Template Prior. EMNLP-2019. paper
  • Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders. EMNLP-2019. paper
  • Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework. EMNLP-2019. paper
  • Structuring Latent Spaces for Stylized Response Generation. EMNLP-2019. paper
  • Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation. EMNLP-2019. paper
  • Generating Responses with a Specific Emotion in Dialog. ACL-2019. paper
  • ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation. ACL-2019. paper
  • Boosting Dialog Response Generation. ACL-2019. paper
  • Retrieval-Enhanced Adversarial Training for Neural Response Generation. ACL-2019. paper
  • Vocabulary Pyramid Network: Multi-Pass Encoding and Decoding with Multi-Level Vocabularies for Response Generation. ACL-2019. paper
  • Ordinal and Attribute Aware Response Generation in a Multimodal Dialogue System. ACL-2019. paper
  • Learning to Abstract for Memory-augmented Conversational Response Generation. ACL-2019. paper
  • Are Training Samples Correlated? Learning to Generate Dialogue Responses with Multiple References. ACL-2019. paper
  • Large-Scale Transfer Learning for Natural Language Generation. ACL-2019. paper
  • Domain Adaptive Dialog Generation via Meta Learning. ACL-2019. paper
  • Neural Response Generation with Meta-words. ACL-2019. paper
  • Response Generation by Context-aware Prototype Editing. AAAI-2019. paper
  • Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning. AAAI-2019. paper
  • Generating Multiple Diverse Responses for Short-Text Conversation. AAAI-2019. paper
  • Affect-Driven Dialog Generation. NAACL-2019. paper
  • Jointly Optimizing Diversity and Relevance in Neural Response Generation. NAACL-2019. paper
  • Linguistically-Informed Specificity and Semantic Plausibility for Dialog Generation. NAACL-2019. paper
  • Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory. NAACL-2019. paper
  • Top-Down Structurally-Constrained Neural Response Generation with Lexicalized Probabilistic Context-Free Grammar. NAACL-2019. paper

Story generation

  • OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics. ACL-2021. paper
  • Automated Generation of Storytelling Vocabulary from Photographs for use in AAC. ACL-2021. paper
  • COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion. ACL-2021. paper
  • Plot-guided Adversarial Example Construction for Evaluating Open-domain Story Generation. NAACL-2021. paper
  • Story Ending Generation with Multi-Level Graph Convolutional Networks over Dependency Trees. AAAI-2021. paper
  • Sketch and Customize: A Counterfactual Story Generator. AAAI-2021. paper
  • UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation. EMNLP-2020. paper
  • Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph. EMNLP-2020. paper
  • Sparse Text Generation. EMNLP-2020. paper
  • MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models. EMNLP-2020. paper
  • STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation. EMNLP-2020. paper
  • Content Planning for Neural Story Generation with Aristotelian Rescoring. EMNLP-2020. paper
  • Story Generation with Rich Details. COLING-2020. paper
  • Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models. AAAI-2020. paper
  • A Character-Centric Neural Model for Automated Story Generation. AAAI-2020. paper
  • Data-dependent Gaussian Prior Objective for Language Generation. ICLR-2020. paper
  • A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation. TACL-2020. paper
  • Strategies for Structuring Story Generation. ACL-2019. paper
  • Learning to Control the Fine-grained Sentiment for Story Ending Generation. ACL-2019. paper
  • Counterfactual Story Reasoning and Generation. EMNLP-2019. paper
  • Improving Neural Story Generation by Targeted Common Sense Grounding. EMNLP-2019. paper
  • Story Ending Generation with Incremental Encoding and Commonsense Knowledge. AAAI-2019. paper
  • Pragmatically Informative Text Generation. NAACL-2019. paper

Commonsense text generation

  • Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models. ACL-2021. paper
  • NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints. NAACL-2021. paper
  • KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning. AAAI-2021. paper
  • KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation. ACL-2021. paper
  • Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph. EMNLP-2020. paper
  • An Enhanced Knowledge Injection Model for Commonsense Generation. EMNLP-2020. paper
  • Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder. ACL-2020. paper

Text simplification

  • Keep It Simple: Unsupervised Simplification of Multi-Paragraph Text. ACL-2021. paper
  • Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification. ACL-2021. paper
  • Paragraph-level Simplification of Medical Texts. NAACL-2021. paper
  • Controllable Text Simplification with Explicit Paraphrasing. NAACL-2021. paper
  • Neural Sentence Simplification with Semantic Dependency Information. AAAI-2021. paper
  • French Biomedical Text Simplification: When Small and Precise Helps. COLING-2020. paper
  • Multi-Word Lexical Simplification. COLING-2020. paper
  • On the Helpfulness of Document Context to Sentence Simplification. COLING-2020. paper
  • Zero-Shot Crosslingual Sentence Simplification. EMNLP-2020. paper
  • ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations. ACL-2020. paper
  • Iterative Edit-Based Unsupervised Sentence Simplification. ACL-2020. paper
  • Neural CRF Model for Sentence Alignment in Text Simplification. ACL-2020. paper
  • Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders. AAAI-2020. paper
  • Discourse Level Factors for Sentence Deletion in Text Simplification. AAAI-2020. paper
  • EASSE: Easier Automatic Sentence Simplification Evaluation. EMNLP-2019. paper
  • Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification. NAACL-2019. paper

Paraphrase generation

  • Factorising Meaning and Form for Intent-Preserving Paraphrasing. ACL-2021. paper
  • Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models. ACL-2021. paper
  • ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation. EACL-2021.paper
  • Neural-Driven Search-Based Paraphrase Generation. EACL-2021. paper
  • Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs. EACL-2021. paper
  • Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation. EACL-2021. paper
  • Don’t Change Me! User-Controllable Selective Paraphrase Generation. EACL-2021. paper
  • A Learning-Exploring Method to Generate Diverse Paraphrases with Multi-Objective Deep Reinforcement Learning. COLING-2020. paper
  • A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation. COLING-2020. paper
  • Gradient-guided Unsupervised Lexically Constrained Text Generation. EMNLP-2020. paper
  • Neural Syntactic Preordering for Controlled Paraphrase Generation. ACL-2020. paper
  • Unsupervised Paraphrasing by Simulated Annealing. ACL-2020. paper
  • Syntax-Guided Controlled Generation of Paraphrases. TACL-2020. paper
  • Exploring Bilingual Parallel Corpora for Syntactically Controllable Paraphrase Generation. IJCAI-2020. paper
  • Integrating Linguistic Knowledge to Sentence Paraphrase Generation. AAAI-2020. paper
  • An End-to-End Generative Architecture for Paraphrase Generation. EMNLP-2019. paper
  • Exploring Diverse Expressions for Paraphrase Generation. EMNLP-2019. paper
  • An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation. EMNLP-2019. paper
  • Syntax-Infused Variational Autoencoder for Text Generation. ACL-2019. paper
  • Generating Sentences from Disentangled Syntactic and Semantic Spaces. ACL-2019. paper
  • Negative Lexically Constrained Decoding for Paraphrase Generation. ACL-2019. paper
  • Decomposable Neural Paraphrase Generation. ACL-2019. paper
  • Controllable Paraphrase Generation with a Syntactic Exemplar. ACL-2019. paper
  • Dictionary-Guided Editing Networks for Paraphrase Generation. AAAI-2019. paper
  • ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation. AAAI-2019. paper
  • A task in a suit and a tie: paraphrase generation with semantic augmentation. AAAI-2019. paper
  • Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation. NAACL-2019. paper

Long text generation

  • Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence. ACL-2021. paper
  • DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation. ACL-2021. paper
  • PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation. EMNLP-2020. paper
  • Long and Diverse Text Generation with Planning-based Hierarchical Variational Model. EMNLP-2019. paper
  • Sentence-Level Content Planning and Style Specification for Neural Text Generation. EMNLP-2019. paper
  • Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. ACL-2019. paper

Argument generation

  • Employing Argumentation Knowledge Graphs for Neural Argument Generation. ACL-2021. paper
  • DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation. ACL-2021. paper
  • Belief-based Generation of Argumentative Claims. ACL-2021. paper
  • Target Inference in Argument Conclusion Generation. ACL-2020. paper
  • Argument Generation with Retrieval, Planning, and Realization. ACL-2019. paper
  • Fixed That for You: Generating Contrastive Claims with Semantic Edits. NAACL-2019. paper

Evaluation for text generation

  • OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics. ACL-2021. paper
  • Evaluating the Evaluation of Diversity in Natural Language Generation. EACL-2021. paper
  • Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR. EACL-2021. paper
  • Perception Score, A Learned Metric for Open-ended Text Generation Evaluation. AAAI-2021. paper
  • A Human Evaluation of AMR-to-English Generation Systems. COLING-2020. paper
  • Mark-Evaluate: Assessing Language Generation using Population Estimation Methods. COLING-2020. paper
  • BLEURT: Learning Robust Metrics for Text Generation. ACL-2020. paper
  • USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation. ACL-2020. paper
  • BERTScore: Evaluating Text Generation with BERT. ICLR-2020. paper
  • MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance. EMNLP-2019. paper
  • EASSE: Easier Automatic Sentence Simplification Evaluation. EMNLP-2019. paper
  • Handling Divergent Reference Texts when Evaluating Table-to-Text Generation. ACL-2019. paper
  • Unifying Human and Statistical Evaluation for Natural Language Generation. NAACL-2019. paper

Generic text generation techniques

  • Contrastive Learning with Adversarial Perturbations for Conditional Text Generation. ICLR-2021. paper
  • Text Generation by Learning from Demonstrations. ICLR-2021. paper
  • Prefix-Tuning: Optimizing Continuous Prompts for Generation. ACL-2021. paper
  • BERTGEN: Multi-task Generation through BERT. ACL-2021. paper
  • POS-Constrained Parallel Decoding for Non-autoregressive Generation. ACL-2021. paper
  • Non-Autoregressive Text Generation with Pre-trained Language Models. EACL-2021. paper
  • ENCONTER: Entity Constrained Progressive Sequence Generation via Insertion-based Transformer. EACL-2021. paper
  • TextGAIL: Generative Adversarial Imitation Learning for Text Generation. AAAI-2021. paper
  • POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training. EMNLP-2020. paper
  • Improving Text Generation with Student-Forcing Optimal Transport. EMNLP-2020. paper
  • Distilling Knowledge Learned in BERT for Text Generation. ACL-2020. paper
  • Improved Natural Language Generation via Loss Truncation. ACL-2020. paper
  • Improving Adversarial Text Generation by Modeling the Distant Future. ACL-2020. paper
  • Leveraging Pre-trained Checkpoints for Sequence Generation Tasks. TACL-2020. paper
  • Neural Text Generation with Unlikelihood Training. ICLR-2020. paper
  • The Curious Case of Neural Text Degeneration. ICLR-2020. paper
  • Data-dependent Gaussian Prior Objective for Language Generation. ICLR-2020. paper
  • Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning. AAAI-2020. paper
  • Insertion-based Decoding with Automatically Inferred Generation Order. TACL-2019. paper
  • Keeping Notes: Conditional Natural Language Generation with a Scratchpad Mechanism. ACL-2019. paper

Other text generation applications

  • Retrieval-Augmented Generation for Code Summarization via Hybrid GNN. ICLR-2021. paper
  • DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling. ACL-2021. paper
  • Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection. AAAI-2021. paper
  • Court Opinion Generation from Case Fact Description with Legal Basis. AAAI-2021. paper
  • Acrostic Poem Generation. EMNLP-2020. paper
  • Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation. EMNLP-2020. paper
  • PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking. EMNLP-2020. paper
  • De-Biased Court’s View Generation with Causality. EMNLP-2020. paper
  • Routing Enforced Generative Model for Recipe Generation. EMNLP-2020. paper
  • Homophonic Pun Generation with Lexically Constrained Rewriting. EMNLP-2020. paper
  • COD3S: Diverse Generation with Discrete Semantic Signatures. EMNLP-2020. paper
  • “Judge me by my size (noun), do you?” YodaLib: A Demographic-Aware Humor Generation Framework. COLING-2020. paper
  • Personalized Multimodal Feedback Generation in Education. COLING-2020. paper
  • Topic-driven Ensemble for Online Advertising Generation. COLING-2020. paper
  • Automatic Poetry Generation from Prosaic Text. ACL-2020. paper
  • Explicit Semantic Decomposition for Definition Generation. ACL-2020. paper
  • Hiring Now: A Skill-Aware Multi-Attention Model for Job Posting Generation. ACL-2020. paper
  • Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge. ACL-2020. paper
  • Smart To-Do: Automatic Generation of To-Do Items from Emails. ACL-2020. paper
  • ScriptWriter: Narrative-Guided Script Generation. ACL-2020. paper
  • SongNet: Rigid Formats Controlled Text Generation. ACL-2020. paper
  • A Structured Latent Variable Recurrent Network with Stochastic Attention for Generating Weibo Comments. IJCAI-2020. paper
  • Generating Reasonable Legal Text through the Combination of Language Modeling and Question Answering. IJCAI-2020. paper
  • An Iterative Polishing Framework based on Quality Aware Masked Language Model for Chinese Poetry Generation. AAAI-2020. paper
  • MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space. AAAI-2020. paper
  • A Modular Architecture for Unsupervised Sarcasm Generation. EMNLP-2019. paper
  • Generating Classical Chinese Poems from Vernacular Chinese. EMNLP-2019. paper
  • Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation. EMNLP-2019. paper
  • Toward a Task of Feedback Comment Generation for Writing Learning. EMNLP-2019. paper
  • Generating Natural Anagrams: Towards Language Generation Under Hard Combinatorial Constraints. EMNLP-2019. paper
  • Generating Modern Poetry Automatically in Finnish. EMNLP-2019. paper
  • Generating Personalized Recipes from Historical User Preferences. EMNLP-2019. paper
  • Pun-GAN: Generative Adversarial Network for Pun Generation. EMNLP-2019. paper
  • Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model. ACL-2019. paper
  • This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation. ACL-2019. paper
  • PaperRobot: Incremental Draft Generation of Scientific Ideas. ACL-2019. paper
  • Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation. ACL-2019. paper
  • Ensuring Readability and Data-fidelity using Head-modifier Templates in Deep Type Description Generation. ACL-2019. paper
  • PoMo: Generating Entity-Specific Post-Modifiers in Context. NAACL-2019. paper
  • Pun Generation with Surprise. NAACL-2019. paper

TBD

  • Vision-to-text generation
  • Explanation generation
  • Sentence compression
  • Sentence fusion