“In this blog post I will recap the features available in two major systems – Semantic Scholar and Scite that are cross disciplinary + provide citation context features on a large scale.
I will then go on to describe how Web of Science and Scholarcy have recently started to include similar features but with a twist….”
“Summarizes research papers, creates interactive flashcards, highlights key points, links to open-access versions of each citation.
Scholarcy™ is the solution to that pile of papers on your virtual desk – research made easy!
This Extension gives you the key points of any research paper, report, or book chapter. It creates a referenced, paraphrased summary, and generates a background reading list for those new to a field.
Our unique Robo-Highlighter™ automatically highlights important contributions made by the paper. No more highlighting with a marker pen – our advanced AI does it for you.
Scholarcy also extracts figures, tables, and bibliographies, and locates open-access PDFs for each reference from Google Scholar, arXiv and elsewhere….”
“Reference mining is fundamental to the creation of citation networks and rich, discoverable digital libraries. In recent years, a number of tools have been developed to address this need, but they are often limited by input format, infrastructure requirements and runtime performance. The most recent developments in this space have focused on reference mining PDFs from arts and humanities literature, but there’s a growing need for a fast, accurate way of extracting and parsing references from a wide range of documents and formats across the full research landscape….
From requirements gathering, algorithm refinement, to the process of extracting over 2 million citations as validated XML records in CrossRef, the entire project ran for 12 weeks. Publications which particularly benefited included the British Medical Journal itself (279,000 new records), Gut (177,000), Journal of Clinical Pathology (171,000) and Journal of Neurology, Neurosurgery and Psychiatry (168,000).
99.9% of the extracted records were fully valid XML. In only 0.1% of cases, the XML required some manual correction to meet CrossRef validation standards. The records were uploaded to CrossRef and are now available as open citations for anyone to reuse….”