Utilizing Background
Sources:
The use of background in different contexts can play a significant role, as discussed by various experts:
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Integrating Background Knowledge for AI:
- explains how background knowledge, like simple facts extracted from written text, can refine word representations in neural networks, enhancing their performance on tasks like question answering 1.
- Another approach involves using dynamic word embeddings that incorporate explicit background knowledge directly from sources like Wikipedia, which improves the model's performance 2.
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Criminal Background Checks:
- and discuss how criminal records begin at the point of arrest in the US, their use in sentencing, and the controversial utilization in employment background checks. They note the increasing use of these checks by corporations, which can sometimes lead to discrimination 3.
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Using Background in Job Interviews:
- encourages using your background setting in video interviews to convey personality and achievements. Objects like degrees, awards, or even meaningful personal items can act as conversation starters and set a memorable impression on interviewers 4.
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Background Noise and Learning:
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Tor and the Dark Web:
- and explain the Tor network's origins with the US Naval Research Laboratory, aimed at allowing anonymous communication for political dissidents. While the dark web is associated with illegal activities, it also serves as a crucial platform for those seeking privacy and freedom from oppressive regimes 7.
These perspectives highlight the versatile roles that different types of background information and settings can play across various domains.
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