( en | de | ru )

 

Disambiguation of "Rodriguez, Juan Diego"

Author of the publication

copydeleteadd this publication to your clipboard
Cross-Domain Detection of GPT-2-Generated Technical Text.

, , , , and . NAACL-HLT, page 1213-1233. Association for Computational Linguistics, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Juan Rodriguez

Juan Diego Urbina

Juan Diego Quesada

Diego Loyola Rodriguez

Juan Diego Garcia

 

Other publications of authors with the same name

Using Multidimensional Bayesian Network Classifiers to Assist the Treatment of Multiple Sclerosis., , , , and . IEEE Trans. Syst. Man Cybern. Part C, 42 (6): 1705-1715 (2012)X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs., , and . CoRR, (2023)Combining Forces for MRI Brain: Natural Language Processing of Radiology Reports with Structured Documentation., , , , and . AMIA, AMIA, (2019)A general framework for the statistical analysis of the sources of variance for classification error estimators., , and . Pattern Recognit., 46 (3): 855-864 (2013)Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers., , , , , and . Neurocomputing, (2012)The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics., , , , , , , , , and 45 other author(s). CoRR, (2021)Multi-Objective Learning of Multi-Dimensional Bayesian Classifiers., and . HIS, page 501-506. IEEE Computer Society, (2008)WiCE: Real-World Entailment for Claims in Wikipedia., , , and . EMNLP, page 7561-7583. Association for Computational Linguistics, (2023)Cross-Domain Detection of GPT-2-Generated Technical Text., , , , and . NAACL-HLT, page 1213-1233. Association for Computational Linguistics, (2022)Reusable Templates and Guides For Documenting Datasets and Models for Natural Language Processing and Generation: A Case Study of the HuggingFace and GEM Data and Model Cards., , , , , and . CoRR, (2021)