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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 ...
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.
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]
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
These agents can interact with users, their environment, or other agents. AI agents are used in various applications, including virtual assistants, chatbots, autonomous vehicles, game-playing systems, and industrial robotics. AI agents operate within the constraints of their programming, available computational resources, and hardware limitations.
Notion AI uses artificial intelligence, which enables prediction of some results, text generation and solving arithmetic. It will also work with other datasets in response to an input by the user of the AI. This AI can automate some tasks and assist the user to make a paragraph or outline from a line of text.
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