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Text Generation

5,125 papers

Papers per year

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Papers

TGEA: An Error-Annotated Dataset and Benchmark Tasks for TextGeneration from Pretrained Language Models IJCNLP 2021
Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence IJCNLP 2021
OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics IJCNLP 2021
DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation IJCNLP 2021
Accelerating Text Communication via Abbreviated Sentence Input IJCNLP 2021
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts IJCNLP 2021
Neural semi-Markov CRF for Monolingual Word Alignment IJCNLP 2021
Improving Paraphrase Detection with the Adversarial Paraphrasing Task IJCNLP 2021
Can Sequence-to-Sequence Models Crack Substitution Ciphers? IJCNLP 2021
Counterfactuals to Control Latent Disentangled Text Representations for Style Transfer IJCNLP 2021
Exploring Listwise Evidence Reasoning with T5 for Fact Verification IJCNLP 2021
Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer IJCNLP 2021
Towards Generative Aspect-Based Sentiment Analysis IJCNLP 2021
Question Generation for Adaptive Education IJCNLP 2021
A Simple Recipe for Multilingual Grammatical Error Correction IJCNLP 2021
Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data IJCNLP 2021
Avoiding Overlap in Data Augmentation for AMR-to-Text Generation IJCNLP 2021
Stage-wise Fine-tuning for Graph-to-Text Generation IJCNLP 2021
Semantics of the Unwritten: The Effect of End of Paragraph and Sequence Tokens on Text Generation with GPT2 IJCNLP 2021
Edit Distance Based Curriculum Learning for Paraphrase Generation IJCNLP 2021
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation IJCNLP 2021
KuiLeiXi: a Chinese Open-Ended Text Adventure Game IJCNLP 2021
FastSeq: Make Sequence Generation Faster IJCNLP 2021
ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation IJCNLP 2021
TURING: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface IJCNLP 2021