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Generation

11,987 papers (2 classified directly here)

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Papers (including subtopics)

Frequency Effects on Syntactic Rule Learning in Transformers EMNLP 2021 From back to the roots into the gated woods: Deep learning for NLP NAACL 2021 From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text ACL 2021 Frustratingly Easy Edit-based Linguistic Steganography with a Masked Language Model NAACL 2021 Frustratingly Simple Pretraining Alternatives to Masked Language Modeling EMNLP 2021 FUDGE: Controlled Text Generation With Future Discriminators NAACL 2021 Gaining Experience with Structured Data: Using the Resources of Dialog State Tracking Challenge 2 NAACL 2021 GAN Vocoder: Multi-Resolution Discriminator Is All You Need Interspeech 2021 GCDF1: A Goal- and Context- Driven F-Score for Evaluating User Models EMNLP 2021 GCM: A Toolkit for Generating Synthetic Code-mixed Text EACL 2021 Generalising Multilingual Concept-to-Text NLG with Language Agnostic Delexicalisation ACL 2021 Generate & Rank: A Multi-task Framework for Math Word Problems EMNLP 2021 Generating Datasets with Pretrained Language Models EMNLP 2021 Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection AAAI 2021 Generating Gender Augmented Data for NLP ACL 2021 Generating Hypothetical Events for Abductive Inference ACL 2021 Generating Long Financial Report using Conditional Variational Autoencoders with Knowledge Distillation AAAI 2021 Generating Query Focused Summaries from Query-Free Resources ACL 2021 Generating Relevant and Coherent Dialogue Responses using Self-Separated Conditional Variational AutoEncoders ACL 2021 Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques ACL 2021 Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs EACL 2021 Generation and Extraction Combined Dialogue State Tracking with Hierarchical Ontology Integration EMNLP 2021 Generative Imagination Elevates Machine Translation NAACL 2021 Generic resources are what you need: Style transfer tasks without task-specific parallel training data EMNLP 2021 GeneSis: A Generative Approach to Substitutes in Context EMNLP 2021