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It is not part of the encyclopedia and contains non-article pages, or groups articles by status rather than subject. Do not include this category in content categories. Do not include this category in content categories.
the article about bibliographic databases for information about databases giving bibliographic information about finding books and journal articles. Note that "free" or "subscription" can refer both to the availability of the database or of the journal articles included. This has been indicated as precisely as possible in the lists below.
In-text attribution involves adding the source of a statement to the article text, such as Rawls argues that X. [5] This is done whenever a writer or speaker should be credited, such as with quotations, close paraphrasing, or statements of opinion or uncertain fact. The in-text attribution does not give full details of the source – this is ...
However, it is possible to use the open web to find many good sources to use in writing encyclopedia articles. Examples of such sources are news stories from newspapers with a reputation for accuracy, books which have previews on digital libraries, and academic papers which are available open access in open archives .
Retrieval-augmented generation (RAG) is a technique that enables generative artificial intelligence (Gen AI) models to retrieve and incorporate new information. [1] It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to supplement information from its pre-existing training data.
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]
This article relies excessively on references to primary sources. Please improve this article by adding secondary or tertiary sources . Find sources: "International Journal on Artificial Intelligence Tools" – news · newspapers · books · scholar · JSTOR ( January 2010 ) ( Learn how and when to remove this message )
Recent effort on adaptive information extraction motivates the development of IE systems that can handle different types of text, from well-structured to almost free text -where common wrappers fail- including mixed types. Such systems can exploit shallow natural language knowledge and thus can be also applied to less structured texts.
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