Greedy Optimization Method for Extractive Summarization of Scientific Articles
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3136302
Abstract: This work presents a method for summarizing scientific articles from the arXive and PubMed datasets using a greedy Extractive Summarization algorithm. We used the approach along with Variable Neighborhood Search (VNS) to learn what is… read more here.
Keywords: optimization method; scientific articles; method; greedy optimization ... See more keywords
A Survey on Visual Approaches for Analyzing Scientific Literature and Patents
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2016.2610422
Abstract: The increasingly large number of available writings describing technical and scientific progress, calls for advanced analytic tools for their efficient analysis. This is true for many application scenarios in science and industry and for different… read more here.
Keywords: survey; survey visual; scientific articles; patents scientific ... See more keywords
Acknowledgements are not just thank you notes: A qualitative analysis of acknowledgements content in scientific articles and reviews published in 2015
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DOI: 10.1371/journal.pone.0226727
Abstract: Acknowledgements in scientific articles can be described as miscellaneous, their content ranging from pre-formulated financial disclosure statements to personal testimonies of gratitude. To improve understanding of the context and various uses of expressions found in… read more here.
Keywords: qualitative analysis; analysis acknowledgements; notes qualitative; thank notes ... See more keywords
The Automatic Detection of Dataset Names in Scientific Articles
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DOI: 10.3390/data6080084
Abstract: We study the task of recognizing named datasets in scientific articles as a Named Entity Recognition (NER) problem. Noticing that available annotated datasets were not adequate for our goals, we annotated 6000 sentences extracted from… read more here.
Keywords: names scientific; automatic detection; detection dataset; scientific articles ... See more keywords
Text mining for identification of biological entities related to antibiotic resistant organisms
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DOI: 10.7717/peerj.13351
Abstract: Antimicrobial resistance is a significant public health problem worldwide. In recent years, the scientific community has been intensifying efforts to combat this problem; many experiments have been developed, and many articles are published in this… read more here.
Keywords: mining identification; scientific articles; text mining; identification biological ... See more keywords