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Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.
The citation generation tool of the Visual Editor (WP:REFVISUAL) can also be used when editing the article source, for users who have enabled the 2017 wikitext editor in their preferences. Template:Ref info, which can aid evaluating what kind of citation style was used to write the article; Based on Citoid: Cite templates in Visual Editor
Reading scientific papers is a tough job. Thankfully, researchers at the Allen Institute for Artificial Intelligence have developed a new model to summarize text from scientific papers, and ...
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]
Perplexity AI is a conversational search engine that uses large language models (LLMs) to answer queries using sources from the web and cites links within the text response. [3] Its developer, Perplexity AI, Inc., is based in San Francisco, California .
Zotero (/ z oʊ ˈ t ɛr oʊ / [7]) is free and open-source reference management software to manage bibliographic data and related research materials, such as PDF and ePUB files. . Features include web browser integration, online syncing, generation of in-text citations, footnotes, and bibliographies, integrated PDF, ePUB and HTML readers with annotation capabilities, and a note editor, as ...
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