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Methodology
← Generation
Natural Language Processing
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Generation
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Text Generation
4534 directly classified papers
Papers per year
2011: 1
2015: 2
2016: 20
2017: 75
2018: 165
2019: 353
2020: 383
2021: 510
2022: 612
2023: 620
2024: 804
2025: 868
2026: 121
Papers
TWT: Table with Written Text for Controlled Data-to-Text Generation
EMNLP 2021
Attribute Alignment: Controlling Text Generation from Pre-trained Language Models
EMNLP 2021
Beyond Grammatical Error Correction: Improving L1-influenced research writing in English using pre-trained encoder-decoder models
EMNLP 2021
Controlled Neural Sentence-Level Reframing of News Articles
EMNLP 2021
COSMic: A Coherence-Aware Generation Metric for Image Descriptions
EMNLP 2021
A Plug-and-Play Method for Controlled Text Generation
EMNLP 2021
Assessing the Sufficiency of Arguments through Conclusion Generation
EMNLP 2021
Tokenization Repair in the Presence of Spelling Errors
EMNLP 2021
Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition
ICCV 2021
Visual-Textual Attentive Semantic Consistency for Medical Report Generation
ICCV 2021
Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing
EMNLP 2021
Grouped-Attention for Content-Selection and Content-Plan Generation
EMNLP 2021
Improving Formality Style Transfer with Context-Aware Rule Injection
ACL 2021
Towards Table-to-Text Generation with Numerical Reasoning
ACL 2021
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models
ACL 2021
AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation
ACL 2021
XLPT-AMR: Cross-Lingual Pre-Training via Multi-Task Learning for Zero-Shot AMR Parsing and Text Generation
ACL 2021
DESCGEN: A Distantly Supervised Datasetfor Generating Entity Descriptions
ACL 2021
Engage the Public: Poll Question Generation for Social Media Posts
ACL 2021
Style Control for Schema-Guided Natural Language Generation
EMNLP 2021
Asking It All: Generating Contextualized Questions for any Semantic Role
EMNLP 2021
Transductive Learning for Unsupervised Text Style Transfer
EMNLP 2021
Coupling Context Modeling with Zero Pronoun Recovering for Document-Level Natural Language Generation
EMNLP 2021
Generic resources are what you need: Style transfer tasks without task-specific parallel training data
EMNLP 2021
Data-to-text Generation by Splicing Together Nearest Neighbors
EMNLP 2021
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