Who cites «Style Transfer from Non-Parallel Text by Cross-Alignment» · page 3
385 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card
- On Learning Text Style Transfer with Direct Rewards — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- PENS: A Dataset and Generic Framework for Personalized News Headline Generation — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- PIE: A Parallel Idiomatic Expression Corpus for Idiomatic Sentence Generation and Paraphrasing — 2021 · Proceedings of the 17th Workshop on Multiword Expressions (MWE 2021)
- Parallel Refinements for Lexically Constrained Text Generation with BART — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Preventing Author Profiling through Zero-Shot Multilingual Back-Translation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Rethinking Sentiment Style Transfer — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
- Retrieve, Discriminate and Rewrite: A Simple and Effective Framework for Obtaining Affective Response in Retrieval-Based Chatbots — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
- SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer — 2021 · arXiv:2104.12977
- Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer — 2021 · arXiv:2110.02950
- Sentence Bottleneck Autoencoders from Transformer Language Models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Syntax Matters! Syntax-Controlled in Text Style Transfer — 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
- Taking Things Personally: Third Person to First Person Rephrasing — 2021 · Proceedings of the 3rd Workshop on Natural Language Processing for Conversational AI
- Text Detoxification using Large Pre-trained Neural Models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Text Style Transfer: Leveraging a Style Classifier on Entangled Latent Representations — 2021 · Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021)
- TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
- Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
- Time-Aware Ancient Chinese Text Translation and Inference — 2021 · Proceedings of the 2nd International Workshop on Computational Approaches to Historical Language Change 2021
- Towards Understanding and Mitigating Social Biases in Language Models — 2021 · arXiv:2106.13219
- Transductive Learning for Unsupervised Text Style Transfer — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Transferable Persona-Grounded Dialogues via Grounded Minimal Edits — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Unsupervised Text Style Transfer with Content Embeddings — 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)
- VAE based Text Style Transfer with Pivot Words Enhancement Learning — 2021 · Proceedings of the 18th International Conference on Natural Language Processing (ICON)
- XFORMAL: A Benchmark for Multilingual Formality Style Transfer — 2021 · arXiv:2104.04108
- 基于风格化嵌入的中文文本风格迁移(Chinese text style transfer based on stylized embedding) — 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics
- A Batch Normalized Inference Network Keeps the KL Vanishing Away — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- A Probabilistic Formulation of Unsupervised Text Style Transfer — 2020 · arXiv:2002.03912
- A little goes a long way: Improving toxic language classification despite data scarcity — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Can Humor Prediction Datasets be used for Humor Generation? Humorous Headline Generation via Style Transfer — 2020 · Proceedings of the Second Workshop on Figurative Language Processing
- Can You be More Social? Injecting Politeness and Positivity into Task-Oriented Conversational Agents — 2020 · arXiv:2012.14653
- Challenges in Emotion Style Transfer: An Exploration with a Lexical Substitution Pipeline — 2020 · Proceedings of the Eighth International Workshop on Natural Language Processing for Social Media
- Contextual Text Style Transfer — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Crossing Variational Autoencoders for Answer Retrieval — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training — 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)
- DGST: a Dual-Generator Network for Text Style Transfer — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Data-to-Text Generation with Style Imitation — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Decode with Template: Content Preserving Sentiment Transfer — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- Diversifying Task-oriented Dialogue Response Generation with Prototype Guided Paraphrasing — 2020 · arXiv:2008.03391
- DualTKB: A Dual Learning Bridge between Text and Knowledge Base — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Exploring Controllable Text Generation Techniques — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- From Disjoint Sets to Parallel Data to Train Seq2Seq Models for Sentiment Transfer — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- How Positive Are You: Text Style Transfer using Adaptive Style Embedding — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- Improving Adversarial Text Generation by Modeling the Distant Future — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Improving Disentangled Text Representation Learning with Information-Theoretic Guidance — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Incorporating Politeness across Languages in Customer Care Responses: Towards building a Multi-lingual Empathetic Dialogue Agent — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- Large Scale Author Obfuscation Using Siamese Variational Auto-Encoder: The SiamAO System — 2020 · Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics
- Learning Implicit Text Generation via Feature Matching — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Learning to Generate Multiple Style Transfer Outputs for an Input Sentence — 2020 · Proceedings of the Fourth Workshop on Neural Generation and Translation
- Lost in Back-Translation: Emotion Preservation in Neural Machine Translation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- NLP Service APIs and Models for Efficient Registration of New Clients — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Neural Syntactic Preordering for Controlled Paraphrase Generation — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- PGST: a Polyglot Gender Style Transfer method — 2020 · arXiv:2009.01040
- Plug and Play Autoencoders for Conditional Text Generation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Politeness Transfer: A Tag and Generate Approach — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Posterior Control of Blackbox Generation — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- R\textasciicircum3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Rapformer: Conditional Rap Lyrics Generation with Denoising Autoencoders — 2020 · Proceedings of the 13th International Conference on Natural Language Generation
- Reformulating Unsupervised Style Transfer as Paraphrase Generation — our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Reinforced Rewards Framework for Text Style Transfer — 2020 · arXiv:2005.05256
- ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis — 2020 · Proceedings of the 13th International Conference on Natural Language Generation
- Rich Syntactic and Semantic Information Helps Unsupervised Text Style Transfer — 2020 · Proceedings of the 13th International Conference on Natural Language Generation
- ST$^2$: Small-data Text Style Transfer via Multi-task Meta-Learning — 2020 · arXiv:2004.11742
- Semantic Matching for Sequence-to-Sequence Learning — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Semi-Supervised Low-Resource Style Transfer of Indonesian Informal to Formal Language with Iterative Forward-Translation — 2020 · arXiv:2011.03286
- Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Stable Style Transformer: Delete and Generate Approach with Encoder-Decoder for Text Style Transfer — 2020 · Proceedings of the 13th International Conference on Natural Language Generation
- Style versus Content: A distinction without a (learnable) difference? — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- Stylized Text Generation: Approaches and Applications — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts
- Syntax-Guided Controlled Generation of Paraphrases — 2020 · Transactions of the Association for Computational Linguistics
- Text Style Transfer: A Review and Experimental Evaluation — 2020 · arXiv:2010.12742 · KDD Explorations 24 (2022) 14-45
- Towards A Friendly Online Community: An Unsupervised Style Transfer Framework for Profanity Redaction — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- Unsupervised Aspect-Level Sentiment Controllable Style Transfer — 2020 · Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing
- Unsupervised Text Style Transfer with Padded Masked Language Models — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Viable Threat on News Reading: Generating Biased News Using Natural Language Models — 2020 · Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science
- (Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
- A Deep Factorization of Style and Structure in Fonts — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
- A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer — 2019 · arXiv:1905.10060
- A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- A Modular Architecture for Unsupervised Sarcasm Generation — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
- A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
- A Neural Approach to Irony Generation — 2019 · arXiv:1909.06200
- A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
- Better Exploiting Latent Variables in Text Modeling — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
- Consistency by Agreement in Zero-Shot Neural Machine Translation — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
- Controllable Paraphrase Generation with a Syntactic Exemplar — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Controlling Contents in Data-to-Document Generation with Human-Designed Topic Labels — 2019 · Proceedings of the 12th International Conference on Natural Language Generation
- Controlling Neural Machine Translation Formality with Synthetic Supervision — 2019 · arXiv:1911.08706
- Counterfactual Story Reasoning and Generation — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)