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Semantic Reader provides in-line citation cards that allow users to see citations with TLDR summaries as they read and skimming highlights that capture key points of a paper so users can digest faster. In contrast with Google Scholar and PubMed, Semantic Scholar is designed to highlight the most important and influential elements of a paper. [13]
Semantic search denotes search with meaning, as distinguished from lexical search where the search engine looks for literal matches of the query words or variants of them, without understanding the overall meaning of the query. [ 1] Semantic search seeks to improve search accuracy by understanding the searcher's intent and the contextual ...
The main academic full-text databases are open archives or link-resolution services, although others operate under different models such as mirroring or hybrid publishers. Such services typically provide access to full text and full-text search, but also metadata about items for which no full text is available.
e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous ...
Scope can be thought of as the semantic order of operations. One of the major concerns of research in formal semantics is the relationship between operators' syntactic positions and their semantic scope. This relationship is not transparent, since the scope of an operator need not directly correspond to its surface position and a single surface ...
Further template category notes. This category contains pages in the template namespace. It should not be used to categorize articles or pages in other namespaces. To add a template to this category: If the template has a separate documentation page (usually called "Template: template name /doc"), add. [[Category:Semantic markup templates]]
Full-text search. In text retrieval, full-text search refers to techniques for searching a single computer -stored document or a collection in a full-text database. Full-text search is distinguished from searches based on metadata or on parts of the original texts represented in databases (such as titles, abstracts, selected sections, or ...
Explicit semantic analysis. In natural language processing and information retrieval, explicit semantic analysis ( ESA) is a vectoral representation of text (individual words or entire documents) that uses a document corpus as a knowledge base. Specifically, in ESA, a word is represented as a column vector in the tf–idf matrix of the text ...