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Text Generation

4534 directly classified papers

Papers per year

Papers

Service registration chatbot: collecting and comparing dialogues from AMT workers and service’s users EMNLP 2020
Syntax-driven Iterative Expansion Language Models for Controllable Text Generation EMNLP 2020
Viable Threat on News Reading: Generating Biased News Using Natural Language Models EMNLP 2020
Natural Language Response Generation from SQL with Generalization and Back-translation EMNLP 2020
GenAug: Data Augmentation for Finetuning Text Generators EMNLP 2020
Generating Narrative Text in a Switching Dynamical System EMNLP 2020
Modeling Preconditions in Text with a Crowd-sourced Dataset EMNLP 2020
Controllable Text Generation with Focused Variation EMNLP 2020
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models EMNLP 2020
A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph EMNLP 2020
Regularization of Distinct Strategies for Unsupervised Question Generation EMNLP 2020
Contextual Text Style Transfer EMNLP 2020
Learning to Plan and Realize Separately for Open-Ended Dialogue Systems EMNLP 2020
Plug-and-Play Conversational Models EMNLP 2020
A Semi-supervised Approach to Generate the Code-Mixed Text using Pre-trained Encoder and Transfer Learning EMNLP 2020
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays EMNLP 2020
Data-to-Text Generation with Style Imitation EMNLP 2020
FELIX: Flexible Text Editing Through Tagging and Insertion EMNLP 2020
Blank Language Models EMNLP 2020
Controllable Meaning Representation to Text Generation: Linearization and Data Augmentation Strategies EMNLP 2020
Seq2Edits: Sequence Transduction Using Span-level Edit Operations EMNLP 2020
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation EMNLP 2020
Content Planning for Neural Story Generation with Aristotelian Rescoring EMNLP 2020
Sparse Text Generation EMNLP 2020
How to Make Neural Natural Language Generation as Reliable as Templates in Task-Oriented Dialogue EMNLP 2020