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Thankfully, researchers at the Allen Institute for Artificial Intelligence have developed a new model to summarize text from scientific papers, and present it in a few sentences in the form of TL ...
Semantic Scholar is a research tool for scientific literature. It is developed at the Allen Institute for AI and was publicly released in November 2015. [2] Semantic Scholar uses modern techniques in natural language processing to support the research process, for example by providing automatically generated summaries of scholarly papers. [3]
The most common way to evaluate summaries is ROUGE (Recall-Oriented Understudy for Gisting Evaluation). It is very common for summarization and translation systems in NIST's Document Understanding Conferences. ROUGE is a recall-based measure of how well a summary covers the content of human-generated summaries known as references.
Contains more than 1,500,000 full-text articles and 4,200 journals covering all academic disciplines and different languages. Provides full-text article search, RSS feeds and a mobile application to access the literature. Free Paperity: Philosophy Documentation Center eCollection: Applied ethics, philosophy, religious studies
Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents.
Reference Organizer presents all references in graphical user interface, where you can choose whether the references should be defined in the body of article or in the reference list template(s) (list-defined format). You can also sort the references in various ways (and optionally keep the sort order), and rename the references.
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