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Found 3 papers, 1 papers with code
Data Augmentation for Conflict and Duplicate Detection in Software Engineering Sentence Pairs
This paper explores the use of text data augmentation techniques to enhance conflict and duplicate detection in software engineering tasks through sentence pair classification.
Transfer learning for conflict and duplicate detection in software requirement pairs
We formulate the conflict and duplicate detection problem as a requirement pair classification task.
Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage
Fine-grained Entity Recognition (FgER) is the task of detecting and classifying entity mentions to a large set of types spanning diverse domains such as biomedical, finance and sports.
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