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Cloud Natural Language | Google Cloud - 0 views
How to optimize for entities - 0 views
The Skills Your Employees Need to Work Effectively with AI - 0 views
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In fact, it is the human ability to understand context — which AI tools lack — that necessitates the need for greater human skills
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specific qualities to look for in talent: “People that can be creative and innovative in the way they find solutions — problem solvers.” Broader research backs this up: A study of 1,700 global companies found that companies that excelled on human capital metrics were four times as likely to have superior financial performance.
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One of the greatest values of experienced workers is domain expertise — deep knowledge of one’s environment. As AI takes over more tasks, there is a significant danger of atrophy of skills and loss of this kind of knowledge.
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Entities In SEO: What Are They And Why Do They Matter? - 0 views
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This concept can be scaled to create exceptionally strong pages by first breaking all the competing pages for a search phrase into a table showing the underlying entities and their relative importance to the main query.
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A “binary scoring system” suggests that Google might decide that a document either IS or ISN’T about any given entity.
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Later clues suggest that “salience” is now measured by Google on a sliding scale from 0 to 1 (for example, the scoring given in its NLP API).
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14 ways Google may evaluate E-A-T - 0 views
Natural language processing to build a semantic database - 0 views
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Google obtains information about entities and their relationships to each other from the following sources: CIA World Factbook, Wikipedia / Wikidata (formerly Freebase) Google+ and Google My Business, respectively Structured data (schema.org) Web crawling Licensed data
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Named Entity Analysis and Extraction: This aspect should be familiar to us from the previous papers. It attempts to identify words with a “known” meaning and assign them to classes of entity types. In general, named entities are people, places, and things (nouns). Entities may also contain product names. These are generally the words that trigger a Knowledge Panel. However, words that do not trigger their own Knowledge Panel can also be entities.
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"For this, Google can use the already verified data from (semi-)structured databases like the Knowledge Graph, Wikipedia … as training data to learn to assign unstructured information to existing models or classes and to recognize new patterns. This is where Natural Language Processing in the form of BERT and MUM plays the crucial role. Using Natural Language Processing, Google is able to access a huge range of unstructured information from the entire crawlable world wide web. The final major challenge is validating the accuracy of the information. The solution could be a further development of the Knowledge Vault."
E-A-T & topical brand positioning as a critical success factor in SEO - 0 views
p938-dong.pdf - 0 views
Entity Types, Entity Classes and Attributes: All you should know as an SEO - 0 views
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