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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
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.
This table lists the file formats which may be manually imported into the reference managers without needing to connect to one particular database. Many of these database companies use the same name for their file format as they do for their database (including Copac, CSA, ISI, Medline, Ovid, PubMed, and SciFinder). For the ability to retrieve ...
To identify AI-generated images and ensure appropriate usage. To help and keep track of AI-using editors who may not realize the deficiencies of AI as a writing tool. The purpose of this project is not to restrict or ban the use of AI in articles, but to verify that its output is acceptable and constructive, and to fix or remove it otherwise.
Summarizing the article itself (lead expansion). Lead sections are nothing more than concise overviews, i.e. summaries , of article body content, and text summarization is one of the primary capabilities of LLMs which they were designed for.
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