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Controllable Text Generation (CTG) is emerging area in the field of natural language generation (NLG).
Unsupervised Controllable Text Generation with Global Variation Discovery and Disentanglement
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ROUGE: A Package for Automatic Evaluation of Summaries. In Text Summarization Branches Out . Association for Computational Linguistics, Barcelona, Spain, 74–81
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Fine-grained Sentiment Controlled Text Generation
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Technical Report: Auxiliary Tuning and its Application to Conditional Text Generation
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Quality Management on Amazon Mechanical Turk. In Proceedings of the ACM SIGKDD Workshop on Human Computation (Washington DC) (HCOMP ’10) . Association for Computing Machinery, New York, NY, USA, 64–67
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TESLA: Translation Evaluation of Sentences with Linear-Programming-Based Analysis. In Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR . Association for Computational Linguistics, Uppsala, Sweden, 354–359
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TESLA at WMT 2011: Translation Evaluation and Tunable Metric. In Proceedings of the Sixth Workshop on Statistical Machine Translation . Association for Computational Linguistics, Edinburgh, Scotland, 78–84
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PET: a Tool for Post-editing and Assessing Machine Translation. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12) . European Language Resources Association (ELRA), Istanbul, Turkey, 3982–3987
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RankME: Reliable Human Ratings for Natural Language Generation. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) . Association for Computational Linguistics, New Orleans, Louisiana, 72–78
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Enhancing Topic-to-Essay Generation with External Commonsense Knowledge. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics, Florence, Italy, 2002–2012
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Learning from Post-Editing: Online Model Adaptation for Statistical Machine Translation. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics . Association for Computational Linguistics, Gothenburg, Sweden, 395–404
Michael Denkowski, Chris Dyer, and Alon Lavie. 2014 · 2014
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A Snapshot of NLG Evaluation Practices 2005 - 2014. In Proceedings of the 15th European Workshop on Natural Language Generation (ENLG) . Association for Computational Linguistics, Brighton, UK, 57–60
Dimitra Gkatzia and Saad Mahamood. 2015 · 2014
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Comparing Person- and Process-Centric Strategies for Obtaining Quality Data on Amazon Mechanical Turk. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (Seoul, Republic of Korea) (CHI ’15) . Association for Computing Machinery, New York, NY, USA, 1345–1354
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Learning Structured Output Representation Using Deep Conditional Generative Models. In Proceedings of the 28th International Conference on Neural Information Processing Systems - Volume 2 (Montreal, Canada) (NIPS’15) . MIT Press, Cambridge, MA, USA, 3483–3491
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A Diversity-Promoting Objective Function for Neural Conversation Models. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . Association for Computational Linguistics, San Diego, California, 110–119
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Controlling Politeness in Neural Machine Translation via Side Constraints. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . Association for Computational Linguistics, San Diego, California, 35–40
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Guided Open Vocabulary Image Captioning with Constrained Beam Search. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, Copenhagen, Denmark, September 9-11, 2017 , Martha Palmer, Rebecca Hwa, and Sebastian Riedel (Eds.). Association for Computational Linguistics, 936–945
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Controlling Linguistic Style Aspects in Neural Language Generation. In Proceedings of the Workshop on Stylistic Variation . Association for Computational Linguistics, Copenhagen, Denmark, 94–104
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Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . Association for Computational Linguistics, Vancouver, Canada, 1116–1126
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Energy-based Generative Adversarial Networks. In 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings . OpenReview.net
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Deep Communicating Agents for Abstractive Summarization. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) . Association for Computational Linguistics, New Orleans, Louisiana, 1662–1675
Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, and Yejin Choi. 2018 · 2018
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Hierarchical Neural Story Generation. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . Association for Computational Linguistics, Melbourne, Australia, 889–898
Angela Fan, Mike Lewis, and Yann Dauphin. 2018 · 2018
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Content preserving text generation with attribute controls. In Advances in Neural Information Processing Systems , S. Bengio, H. Wallach, H. Larochelle, K. Grauman, N. Cesa-Bianchi, and R. Garnett (Eds.), Vol. 31. Curran Associates, Inc
Lajanugen Logeswaran, Honglak Lee, and Samy Bengio. 2018 · 2018
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Polite Dialogue Generation Without Parallel Data
Tong Niu and Mohit Bansal. 2018 · 2018
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Deep Contextualized Word Representations. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) . Association for Computational Linguistics, New Orleans, Louisiana, 2227–2237
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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Generating lyrics with variational autoencoder and multi-modal artist embeddings
Olga Vechtomova, Hareesh Bahuleyan, Amirpasha Ghabussi, and Vineet John. 2018 · 2018
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SentiGAN: Generating Sentimental Texts via Mixture Adversarial Networks. In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI-18 . International Joint Conferences on Artificial Intelligence Organization, 4446–4452
Ke Wang and Xiaojun Wan. 2018 · 2018
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Xiaopeng Yang, Xiaowen Lin, Shunda Suo, and Ming Li. 2018 · 2018
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Personalizing Dialogue Agents: I have a dog, do you have pets too?. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . Association for Computational Linguistics, Melbourne, Australia, 2204–2213
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Texygen: A Benchmarking Platform for Text Generation Models. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval (Ann Arbor, MI, USA) (SIGIR ’18) . Association for Computing Machinery, New York, NY, USA, 1097–1100
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Neural data-to-text generation: A comparison between pipeline and end-to-end architectures. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . Association for Computational Linguistics, Hong Kong, China, 552–562
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“My Way of Telling a Story”: Persona based Grounded Story Generation. In Proceedings of the Second Workshop on Storytelling . Association for Computational Linguistics, Florence, Italy, 11–21
Khyathi Chandu, Shrimai Prabhumoye, Ruslan Salakhutdinov, and Alan W Black. 2019 · 2019
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Sentiment-Controllable Chinese Poetry Generation. In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI-19 . International Joint Conferences on Artificial Intelligence Organization, 4925–4931
Huimin Chen, Xiaoyuan Yi, Maosong Sun, Wenhao Li, Cheng Yang, and Zhipeng Guo. 2019b · 2019
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Cross-Lingual Language Model Pretraining
Alexis Conneau and Guillaume Lample. 2019 · 2019
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Transformer-XL: Attentive Language Models beyond a Fixed-Length Context. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics, Florence, Italy, 2978–2988
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In 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) . Association for Computational Linguistics, Minneapolis, Minnesota, 4171–4186
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Unified Language Model Pre-Training for Natural Language Understanding and Generation
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Structuring Latent Spaces for Stylized Response Generation. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . Association for Computational Linguistics, Hong Kong, China, 1814–1823
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Bias Correction of Learned Generative Models Using Likelihood-Free Importance Weighting
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Unifying Human and Statistical Evaluation for Natural Language Generation. In 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) . Association for Computational Linguistics, Minneapolis, Minnesota, 1689–1701
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Learning to Control the Fine-grained Sentiment for Story Ending Generation. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics, Florence, Italy, 6020–6026
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