Artigos de revistas sobre o tema "Data-to-text generation"
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Yang, Sen, e Yang Liu. "Data-to-text Generation via Planning". Journal of Physics: Conference Series 1827, n.º 1 (1 de março de 2021): 012190. http://dx.doi.org/10.1088/1742-6596/1827/1/012190.
Texto completo da fontePuduppully, Ratish, Yao Fu e Mirella Lapata. "Data-to-text Generation with Variational Sequential Planning". Transactions of the Association for Computational Linguistics 10 (2022): 697–715. http://dx.doi.org/10.1162/tacl_a_00484.
Texto completo da fonteGong, Heng, Xiaocheng Feng e Bing Qin. "DiffuD2T: Empowering Data-to-Text Generation with Diffusion". Electronics 12, n.º 9 (7 de maio de 2023): 2136. http://dx.doi.org/10.3390/electronics12092136.
Texto completo da fontePuduppully, Ratish, e Mirella Lapata. "Data-to-text Generation with Macro Planning". Transactions of the Association for Computational Linguistics 9 (2021): 510–27. http://dx.doi.org/10.1162/tacl_a_00381.
Texto completo da fonteZhang, Dell, Jiahao Yuan, Xiaoling Wang e Adam Foster. "Probabilistic Verb Selection for Data-to-Text Generation". Transactions of the Association for Computational Linguistics 6 (dezembro de 2018): 511–27. http://dx.doi.org/10.1162/tacl_a_00038.
Texto completo da fonteLi, Shujie, Liang Li, Ruiying Geng, Min Yang, Binhua Li, Guanghu Yuan, Wanwei He et al. "Unifying Structured Data as Graph for Data-to-Text Pre-Training". Transactions of the Association for Computational Linguistics 12 (2024): 210–28. http://dx.doi.org/10.1162/tacl_a_00641.
Texto completo da fonteGong, Heng, Xiaocheng Feng e Bing Qin. "Quality Control for Distantly-Supervised Data-to-Text Generation via Meta Learning". Applied Sciences 13, n.º 9 (30 de abril de 2023): 5573. http://dx.doi.org/10.3390/app13095573.
Texto completo da fontePuduppully, Ratish, Li Dong e Mirella Lapata. "Data-to-Text Generation with Content Selection and Planning". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julho de 2019): 6908–15. http://dx.doi.org/10.1609/aaai.v33i01.33016908.
Texto completo da fonteGkatzia, Dimitra, Oliver Lemon e Verena Rieser. "Data-to-Text Generation Improves Decision-Making Under Uncertainty". IEEE Computational Intelligence Magazine 12, n.º 3 (agosto de 2017): 10–17. http://dx.doi.org/10.1109/mci.2017.2708998.
Texto completo da fonteRebuffel, Clement, Marco Roberti, Laure Soulier, Geoffrey Scoutheeten, Rossella Cancelliere e Patrick Gallinari. "Controlling hallucinations at word level in data-to-text generation". Data Mining and Knowledge Discovery 36, n.º 1 (22 de outubro de 2021): 318–54. http://dx.doi.org/10.1007/s10618-021-00801-4.
Texto completo da fonteJang, Jungsun, Hyungjong Noh, Yeonsoo Lee, Soo-Min Pantel e Haechang Rim. "Narrative context-based data-to-text generation for ambient intelligence". Journal of Ambient Intelligence and Humanized Computing 11, n.º 4 (17 de janeiro de 2019): 1421–29. http://dx.doi.org/10.1007/s12652-019-01176-7.
Texto completo da fonteJolly, Shailza, Zi Xuan Zhang, Andreas Dengel e Lili Mou. "Search and Learn: Improving Semantic Coverage for Data-to-Text Generation". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 10 (28 de junho de 2022): 10858–66. http://dx.doi.org/10.1609/aaai.v36i10.21332.
Texto completo da fonteUehara, Yui, e Tatsuya Ishigaki. "Commentary on “Learning with Contrastive Examples for Data-to-Text Generation”". Journal of Natural Language Processing 28, n.º 2 (2021): 710–15. http://dx.doi.org/10.5715/jnlp.28.710.
Texto completo da fonteDale, Robert. "Navigating the text generation revolution: Traditional data-to-text NLG companies and the rise of ChatGPT". Natural Language Engineering 29, n.º 4 (julho de 2023): 1188–97. http://dx.doi.org/10.1017/s1351324923000347.
Texto completo da fonteMa, Ting-Huai, Xin Yu e Huan Rong. "A comprehensive transfer news headline generation method based on semantic prototype transduction". Mathematical Biosciences and Engineering 20, n.º 1 (2022): 1195–228. http://dx.doi.org/10.3934/mbe.2023055.
Texto completo da fonteJoseph, Ethan, Julian Lioanag e Mei Si. "Improving Data-to-Text Generation via Preserving High-Frequency Phrases and Fact-Checking". Italian Journal of Computational Linguistics 7, n.º 1 | 2 (1 de dezembro de 2021): 223–44. http://dx.doi.org/10.4000/ijcol.909.
Texto completo da fonteMa, Mingyu Derek, Xiaoxuan Wang, Po-Nien Kung, P. Jeffrey Brantingham, Nanyun Peng e Wei Wang. "STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 17 (24 de março de 2024): 18751–59. http://dx.doi.org/10.1609/aaai.v38i17.29839.
Texto completo da fonteAvhad, Pranjali. "WordCanvas: Text-to-Image Generation". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, n.º 05 (7 de maio de 2024): 1–5. http://dx.doi.org/10.55041/ijsrem32152.
Texto completo da fonteTHEUNE, M., E. KLABBERS, J. R. DE PIJPER, E. KRAHMER e J. ODIJK. "From data to speech: a general approach". Natural Language Engineering 7, n.º 1 (março de 2001): 47–86. http://dx.doi.org/10.1017/s1351324901002625.
Texto completo da fonteFu, Zihao, Lidong Bing e Wai Lam. "Open Domain Event Text Generation". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 05 (3 de abril de 2020): 7748–55. http://dx.doi.org/10.1609/aaai.v34i05.6278.
Texto completo da fonteJournal, IJSREM. "Enhancing Data Representation: A Novel Text-to-Image Protocol for Advanced Visual Content Generation using Generative Pre-trained Transformers". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, n.º 01 (15 de janeiro de 2024): 1–13. http://dx.doi.org/10.55041/ijsrem28134.
Texto completo da fonteCurrie, Janet, Henrik Kleven e Esmée Zwiers. "Technology and Big Data Are Changing Economics: Mining Text to Track Methods". AEA Papers and Proceedings 110 (1 de maio de 2020): 42–48. http://dx.doi.org/10.1257/pandp.20201058.
Texto completo da fonteShonenkov, A. V., D. K. Karachev, M. Y. Novopoltsev, M. S. Potanin, D. V. Dimitrov e A. V. Chertok. "Handwritten text generation and strikethrough characters augmentation". Computer Optics 46, n.º 3 (junho de 2022): 455–64. http://dx.doi.org/10.18287/2412-6179-co-1049.
Texto completo da fonteLibbi, Claudia Alessandra, Jan Trienes, Dolf Trieschnigg e Christin Seifert. "Generating Synthetic Training Data for Supervised De-Identification of Electronic Health Records". Future Internet 13, n.º 5 (20 de maio de 2021): 136. http://dx.doi.org/10.3390/fi13050136.
Texto completo da fontePandraju, Saichandra, e Sakthi Ganesh Mahalingam. "Answer-Aware Question Generation from Tabular and Textual Data using T5". International Journal of Emerging Technologies in Learning (iJET) 16, n.º 18 (20 de setembro de 2021): 256. http://dx.doi.org/10.3991/ijet.v16i18.25121.
Texto completo da fonteZhang, Yangqianhui. "Exploration of Cross-Modal Text Generation Methods in Smart Justice". Scientific Programming 2021 (21 de outubro de 2021): 1–14. http://dx.doi.org/10.1155/2021/3225933.
Texto completo da fonteSun, Peijie, Le Wu, Kun Zhang, Yu Su e Meng Wang. "An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation". ACM Transactions on Information Systems 40, n.º 3 (31 de julho de 2022): 1–29. http://dx.doi.org/10.1145/3483611.
Texto completo da fonteGong, Haisong, Qiang Liu, Shu Wu e Liang Wang. "Text-Guided Molecule Generation with Diffusion Language Model". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 1 (24 de março de 2024): 109–17. http://dx.doi.org/10.1609/aaai.v38i1.27761.
Texto completo da fonteZahoor, Saniya, e Shabir A.Sofi. "Automatic Podcast Generation". Journal of University of Shanghai for Science and Technology 23, n.º 10 (1 de outubro de 2021): 22–28. http://dx.doi.org/10.51201/jusst/21/09700.
Texto completo da fonteRosenberg, Harrison, Shimaa Ahmed, Guruprasad Ramesh, Kassem Fawaz e Ramya Korlakai Vinayak. "Limitations of Face Image Generation". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 13 (24 de março de 2024): 14838–46. http://dx.doi.org/10.1609/aaai.v38i13.29403.
Texto completo da fonteLi, Quanzhi, e Qiong Zhang. "Court Opinion Generation from Case Fact Description with Legal Basis". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 17 (18 de maio de 2021): 14840–48. http://dx.doi.org/10.1609/aaai.v35i17.17742.
Texto completo da fonteBarbosa, Wendson A. S., e Daniel J. Gauthier. "Learning spatiotemporal chaos using next-generation reservoir computing". Chaos: An Interdisciplinary Journal of Nonlinear Science 32, n.º 9 (setembro de 2022): 093137. http://dx.doi.org/10.1063/5.0098707.
Texto completo da fontePhilip, Philemon, e Sidra Minhas. "A Brief Survey on Natural Language Processing Based Text Generation and Evaluation Techniques". VFAST Transactions on Software Engineering 10, n.º 3 (27 de setembro de 2022): 24–36. http://dx.doi.org/10.21015/vtse.v10i3.1104.
Texto completo da fonteYu, Kyungho, Hyoungju Kim, Jeongin Kim, Chanjun Chun e Pankoo Kim. "A Study on Webtoon Generation Using CLIP and Diffusion Models". Electronics 12, n.º 18 (21 de setembro de 2023): 3983. http://dx.doi.org/10.3390/electronics12183983.
Texto completo da fonteJiang, Nan, Jing Chen, Ri-Gui Zhou, Changxing Wu, Honglong Chen, Jiaqi Zheng e Tao Wan. "PAN: Pipeline assisted neural networks model for data-to-text generation in social internet of things". Information Sciences 530 (agosto de 2020): 167–79. http://dx.doi.org/10.1016/j.ins.2020.03.080.
Texto completo da fonteGuan, Xinyi, e Shun Long. "Hierarchical Keyword Generation Method for Low-Resource Social Media Text". Information 14, n.º 11 (15 de novembro de 2023): 615. http://dx.doi.org/10.3390/info14110615.
Texto completo da fonteChary, Podakanti Satyajith. "Text Generation: Using Markov Model & LSTM Networks to Generate Realistic Text". International Journal for Research in Applied Science and Engineering Technology 11, n.º 12 (31 de dezembro de 2023): 1323–27. http://dx.doi.org/10.22214/ijraset.2023.57601.
Texto completo da fonteLiu, Chang, Yuanhe Tian, Weidong Chen, Yan Song e Yongdong Zhang. "Bootstrapping Large Language Models for Radiology Report Generation". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 17 (24 de março de 2024): 18635–43. http://dx.doi.org/10.1609/aaai.v38i17.29826.
Texto completo da fonteLi, Linfeng, Licheng Zhang, Chiwei Zhu e Zhendong Mao. "QGAE: an End-to-end Answer-Agnostic Question Generation Model for Generating Question-Answer Pairs". JUSTC 53 (2023): 1. http://dx.doi.org/10.52396/justc-2023-0002.
Texto completo da fonteChai, Yuyang, Zhuang Li, Jiahui Liu, Lei Chen, Fei Li, Donghong Ji e Chong Teng. "Compositional Generalization for Multi-Label Text Classification: A Data-Augmentation Approach". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 16 (24 de março de 2024): 17727–35. http://dx.doi.org/10.1609/aaai.v38i16.29725.
Texto completo da fonteLaha, Anirban, Parag Jain, Abhijit Mishra e Karthik Sankaranarayanan. "Scalable Micro-planned Generation of Discourse from Structured Data". Computational Linguistics 45, n.º 4 (janeiro de 2020): 737–63. http://dx.doi.org/10.1162/coli_a_00363.
Texto completo da fonteHei, Nailei, Qianyu Guo, Zihao Wang, Yan Wang, Haofen Wang e Wenqiang Zhang. "A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 3 (24 de março de 2024): 2139–47. http://dx.doi.org/10.1609/aaai.v38i3.27986.
Texto completo da fonteRossiello, Gaetano, Md Faisal Mahbub Chowdhury, Nandana Mihindukulasooriya, Owen Cornec e Alfio Massimiliano Gliozzo. "KnowGL: Knowledge Generation and Linking from Text". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 13 (26 de junho de 2023): 16476–78. http://dx.doi.org/10.1609/aaai.v37i13.27084.
Texto completo da fonteKonstas, I., e M. Lapata. "A Global Model for Concept-to-Text Generation". Journal of Artificial Intelligence Research 48 (30 de outubro de 2013): 305–46. http://dx.doi.org/10.1613/jair.4025.
Texto completo da fonteMahajan, Dhruva, Ashish Gapat, Lalita Moharkar, Prathamesh Sawant e Kapil Dongardive. "Artificial Generation of Realistic Voices". International Journal of Applied Sciences and Smart Technologies 03, n.º 01 (21 de junho de 2021): 11–26. http://dx.doi.org/10.24071/ijasst.v3i1.2744.
Texto completo da fonteNayan Banik, Chayti Saha, Chayti Saha, Ikbal Ahmed, Ikbal Ahmed e Kulsum Akter Shapna. "Bangla text generation system by incorporating attention in sequence-to-sequence model". World Journal of Advanced Research and Reviews 14, n.º 1 (30 de abril de 2022): 080–94. http://dx.doi.org/10.30574/wjarr.2022.14.1.0292.
Texto completo da fonteVinay S e Kumar Siddamallappa U. "A novel package of key generation and integrity validation in symmetric key cryptography". International Journal of Science and Research Archive 9, n.º 2 (30 de agosto de 2023): 997–1002. http://dx.doi.org/10.30574/ijsra.2023.9.2.0480.
Texto completo da fonteRIZZO, THOMAS G. "LIMITS ON NEW FERMIONS FROM $p\bar p$ COLLIDER DATA". Modern Physics Letters A 02, n.º 07 (julho de 1987): 505–11. http://dx.doi.org/10.1142/s0217732387000628.
Texto completo da fonteLiu, Lei, Yeguo Sun, Yihong Liu, Rachel Edita O. Roxas e Rodolfo C. Raga. "Research and Implementation of Text Generation Based on Text Augmentation and Knowledge Understanding". Computational Intelligence and Neuroscience 2022 (10 de setembro de 2022): 1–10. http://dx.doi.org/10.1155/2022/2988639.
Texto completo da fonteChen, Yiwen, Chi Zhang, Xiaofeng Yang, Zhongang Cai, Gang Yu, Lei Yang e Guosheng Lin. "IT3D: Improved Text-to-3D Generation with Explicit View Synthesis". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 2 (24 de março de 2024): 1237–44. http://dx.doi.org/10.1609/aaai.v38i2.27886.
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