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Progressive Transformer-Based Generation of Radiology Reports
In: Nooralahzadeh, Farhad; Perez Gonzalez, Nicolas; Frauenfelder, Thomas; Fujimoto, Koji; Krauthammer, Michael (2021). Progressive Transformer-Based Generation of Radiology Reports. In: Empirical Methods in Natural Language Processing (EMNLP), Punta Cana, 7 November 2021 - 11 November 2021. ACL Anthology, 2824-2832. (2021)
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2
Low-Resource Adaptation of Neural NLP Models ...
Nooralahzadeh, Farhad. - : arXiv, 2020
Abstract: Real-world applications of natural language processing (NLP) are challenging. NLP models rely heavily on supervised machine learning and require large amounts of annotated data. These resources are often based on language data available in large quantities, such as English newswire. However, in real-world applications of NLP, the textual resources vary across several dimensions, such as language, dialect, topic, and genre. It is challenging to find annotated data of sufficient amount and quality. The objective of this thesis is to investigate methods for dealing with such low-resource scenarios in information extraction and natural language understanding. To this end, we study distant supervision and sequential transfer learning in various low-resource settings. We develop and adapt neural NLP models to explore a number of research questions concerning NLP tasks with minimal or no training data. ... : Thesis submitted for the degree of Philosophiae Doctor. Department of Informatics, University of Oslo. https://www.mn.uio.no/ifi/forskning/aktuelt/arrangementer/disputaser/2020/nooralahzadeh.html ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2011.04372
https://arxiv.org/abs/2011.04372
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Zero-Shot Cross-Lingual Transfer with Meta Learning ...
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