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Showing posts with the label LamiaSalsabil

2022-09-13: A Hybrid Classifier to Extract URLs linking to Open Access Datasets and Software for Computational Reproducibility Study

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It has become common practice to include open access datasets and software (OADS) in computational research publications. Emily Escamilla , discusses the increasing trends of including web and software repository platforms in scholarly publications in her One in Five arXiv Articles Reference GitHub blog. OADS are essential resources for replicating computational experiments and making the work more transparent. OADS are also crucial for building repositories that support computational reproducibility. The process of manually examining a large number of research papers in order to extract URLs linking to OADS is time-consuming and labor-intensive. Thus an automatic approach should be adopted to identify and extract OADS-URLs (URLs linking to OADS) from scientific papers. We proposed a hybrid OADSClasssifier consisting of a heuristic and a supervised learning model to identify OADS-URLs in a research paper automatically. The classifier achieves a best F1 of 0.92. The source code is av...

2021-11-02: Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2021) Workshop Trip Report

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                                                                (source:  https://2021.jcdl.org/ ) Due to the global pandemic the ACM/IEEE Joint Conference on Digital Libraries (JCDL 2021) was organized online by the School of Information Sciences of the University of Illinois at Urbana-Champaign during September 27-30, 2021. Members of the Web Science and Digital Libraries Research Group  (WSDL) attended the workshops , tutorials , paper sessions , posters and demonstrations virtually via Zoom. Muntabir Choudhury wrote an excellent trip report covering the JCDL 2021 main conference. The JCDL workshop, September 30, 2021, on “ Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2021) ” was organized by Dr. Chengzhi Zhang , Dr. Philipp Mayr , Dr. Wei Lu , and Dr. Yi Zhang with an aim to...

2021-06-30: Lamia Salsabil (Computer Science PhD Student)

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                                                                                                             My name is Lamia Salsabil. I am an international student from Dhaka, Bangladesh. I joined the  WS-DL   ( Web Science and Digital Libraries Research Group) at Old Dominion University as a PhD student in the Spring of 2021 under the direct supervision of  Dr. Jian Wu . My current research project involves feature extraction. My research interest includes Natural Language Processing, Applied Machine Learning and Big Data.  From an early age, I’ve always been deeply interested in science and technology. The decision to study my undergraduate in Computer Science and Engineering stemmed from an i...