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Feature-Based Transfer Learning In Natural Language Processing, Jianfei Yu
Feature-Based Transfer Learning In Natural Language Processing, Jianfei Yu
Dissertations and Theses Collection (Open Access)
In the past few decades, supervised machine learning approach is one of the most important methodologies in the Natural Language Processing (NLP) community. Although various kinds of supervised learning methods have been proposed to obtain the state-of-the-art performance across most NLP tasks, the bottleneck of them lies in the heavy reliance on the large amount of manually annotated data, which is not always available in our desired target domain/task. To alleviate the data sparsity issue in the target domain/task, an attractive solution is to find sufficient labeled data from a related source domain/task. However, for most NLP applications, due to …
Overfitting In Automated Program Repair: Challenges And Solutions, Dinh Xuan Bach Le
Overfitting In Automated Program Repair: Challenges And Solutions, Dinh Xuan Bach Le
Dissertations and Theses Collection (Open Access)
This chapter discusses the main problem and motivation of this dissertation. It also discusses a quantification of various research issues directly related to the dissertation. A summary of works done will also be presented along with the structure of the dissertation.