Who cites «Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer» · page 3
305 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card
- XFORMAL: A Benchmark for Multilingual Formality Style Transfer — 2021 · arXiv:2104.04108
- ``Nice Try, Kiddo'''': Investigating Ad Hominems in Dialogue Responses — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- 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 Probabilistic Formulation of Unsupervised Text Style Transfer — 2020 · arXiv:2002.03912
- An Empirical Study on Multi-Task Learning for Text Style Transfer and Paraphrase Generation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Industry Track
- Attention Transfer Network for Aspect-level Sentiment Classification — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- 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
- CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- 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
- Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- DGST: a Dual-Generator Network for Text Style Transfer — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Decode with Template: Content Preserving Sentiment Transfer — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- Evaluating Compositionality of Sentence Representation Models — 2020 · Proceedings of the 5th Workshop on Representation Learning for NLP
- 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
- Facilitating the Communication of Politeness through Fine-Grained Paraphrasing — our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Formality Style Transfer with Shared Latent Space — 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
- 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
- Investigating Societal Biases in a Poetry Composition System — 2020 · Proceedings of the Second Workshop on Gender Bias in Natural Language Processing
- Invisible to People but not to Machines: Evaluation of Style-aware HeadlineGeneration in Absence of Reliable Human Judgment — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- Iterative Edit-Based Unsupervised Sentence Simplification — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- 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
- Learning to Update Natural Language Comments Based on Code Changes — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- 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
- 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
- PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- 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
- 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
- Retrieval-Augmented Controllable Review Generation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- 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 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
- Substance over Style: Document-Level Targeted Content Transfer — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- 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 KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning — 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
- 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 Neural Approach to Irony Generation — 2019 · arXiv:1909.06200
- ALTER: Auxiliary Text Rewriting Tool for Natural Language 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): System Demonstrations
- Courteously Yours: Inducing courteous behavior in Customer Care responses using Reinforced Pointer Generator Network — 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)
- Disentangled Representation Learning for Non-Parallel Text Style Transfer — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Domain Adaptive Text Style Transfer — 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)
- Evaluating Style Transfer for Text — 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)
- Extract and Edit: An Alternative to Back-Translation for Unsupervised 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)
- Formality Style Transfer with Hybrid Textual Annotations — 2019 · arXiv:1903.06353
- Generating Sentences from Disentangled Syntactic and Semantic Spaces — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation — 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)
- Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects — 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)
- Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange — 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)
- Learning to Control the Fine-grained Sentiment for Story Ending Generation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Learning to Flip the Sentiment of Reviews from Non-Parallel Corpora — 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)
- Mask and Infill" : Applying Masked Language Model to Sentiment Transfer — 2019 · arXiv:1908.08039
- Mimic and Rephrase: Reflective Listening in Open-Ended Dialogue — 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
- Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training — 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)
- Neural Text Style Transfer via Denoising and Reranking — 2019 · Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation
- Plain English Summarization of Contracts — 2019 · Proceedings of the Natural Legal Language Processing Workshop 2019
- Plug and Play Language Models: A Simple Approach to Controlled Text Generation — 2019 · arXiv:1912.02164
- Pun Generation with Surprise — 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)
- Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus — 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)
- Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning — 2019 · arXiv:1905.12304
- Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification — 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)
- Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation — 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)
- Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites — 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)
- Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- The Daunting Task of Real-World Textual Style Transfer Auto-Evaluation — 2019 · arXiv:1910.03747
- Towards Content Transfer through Grounded Text Generation — 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)
- Towards Fine-grained Text Sentiment Transfer — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Towards augmenting crisis counselor training by improving message retrieval — 2019 · Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology
- Unifying Human and Statistical Evaluation for Natural Language Generation — 2019 · arXiv:1904.02792
- Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer — 2019 · Proceedings of the 3rd Workshop on Neural Generation and Translation
- ``My Way of Telling a Story'''': Persona based Grounded Story Generation — 2019 · Proceedings of the Second Workshop on Storytelling
- ``Transforming'''' Delete, Retrieve, Generate Approach for Controlled Text Style Transfer — 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)
- Dictionary-Guided Editing Networks for Paraphrase Generation — 2018 · arXiv:1806.08077
- Language Style Transfer from Sentences with Arbitrary Unknown Styles — 2018 · arXiv:1808.04071
- Learning Neural Templates for Text Generation — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Monolingual and Cross-lingual Zero-shot Style Transfer — 2018 · arXiv:1808.00179
- Multiple-Attribute Text Style Transfer — 2018 · arXiv:1811.00552
- QuaSE: Accurate Text Style Transfer under Quantifiable Guidance — 2018 · arXiv:1804.07007
- QuaSE: Sequence Editing under Quantifiable Guidance — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Sounds Wilde. Phonetically Extended Embeddings for Author-Stylized Poetry Generation — 2018 · Proceedings of the Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology
- Structured Content Preservation for Unsupervised Text Style Transfer — 2018 · arXiv:1810.06526
- Style Transfer Through Back-Translation — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)