3 citations · 5 across the 4 of their papers we have counts for
4 papers
Data Augmentation for Conflict and Duplicate Detection in Software Engineering Sentence Pairs
Garima Malik, Mucahit Cevik, Ayşe Başar
This paper explores the use of text data augmentation techniques to enhance conflict and duplicate detection in software engineering tasks through sentence pair classification. The…
Transfer learning for conflict and duplicate detection in software requirement pairs
Garima Malik, Savas Yildirim, Mucahit Cevik
Consistent and holistic expression of software requirements is important for the success of software projects. In this study, we aim to enhance the efficiency of the software devel…
Supervised Semantic Similarity-based Conflict Detection Algorithm: S3CDA
Garima Malik, Mucahit Cevik, Ayse Basar +1
Identifying conflicting requirements is a key challenge in software requirement engineering, often overlooked in automated solutions. Most existing approaches rely on handcrafted r…
Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage
Abhishek Abhishek, Sanya Bathla Taneja, Garima Malik +2
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 spo…