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← Learning Types
Deep Learning
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Learning Types
›
Text Generation
67 papers
Papers per year
2017: 2
2
2018: 4
4
2019: 5
5
2020: 8
8
2021: 6
6
2022: 14
14
2023: 8
8
2024: 9
9
2025: 7
7
2026: 4
4
Papers
Neural Syntactic Preordering for Controlled Paraphrase Generation
ACL 2020
Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation
ACL 2020
Challenges in Emotion Style Transfer: An Exploration with a Lexical Substitution Pipeline
ACL 2020
Blank Language Models
EMNLP 2020
COD3S: Diverse Generation with Discrete Semantic Signatures
EMNLP 2020
PyMT5: multi-mode translation of natural language and Python code with transformers
EMNLP 2020
Paraphrase Diversification Using Counterfactual Debiasing
AAAI 2019
Data-to-Text Generation with Content Selection and Planning
AAAI 2019
Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation
ACL 2019
Learning to Select, Track, and Generate for Data-to-Text
ACL 2019
Parallel Iterative Edit Models for Local Sequence Transduction
EMNLP 2019
Hierarchical Neural Story Generation
ACL 2018
Deep-speare: A joint neural model of poetic language, meter and rhyme
ACL 2018
NeuralREG: An end-to-end approach to referring expression generation
ACL 2018
Training for Diversity in Image Paragraph Captioning
EMNLP 2018
When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)
EMNLP 2017
Steering Output Style and Topic in Neural Response Generation
EMNLP 2017
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