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Questions and Answers
What is the primary goal of relation extraction?
What is the primary goal of relation extraction?
Which task involves determining a range of feelings expressed in text?
Which task involves determining a range of feelings expressed in text?
What is the main function of speech synthesis?
What is the main function of speech synthesis?
What capability does computer vision primarily provide?
What capability does computer vision primarily provide?
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How can documented information be described?
How can documented information be described?
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Which task involves the conversion of speech signals into text?
Which task involves the conversion of speech signals into text?
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What defines the relationship between AI objectives and risk management in an organization?
What defines the relationship between AI objectives and risk management in an organization?
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What aspect does competence primarily refer to in the context of an organization?
What aspect does competence primarily refer to in the context of an organization?
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How is risk best characterized according to the provided definitions?
How is risk best characterized according to the provided definitions?
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What does the term 'process' refer to in an organizational context?
What does the term 'process' refer to in an organizational context?
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Which description best fits documented information in an organization?
Which description best fits documented information in an organization?
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What does the term 'organization' encompass?
What does the term 'organization' encompass?
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How is an 'interested party' defined?
How is an 'interested party' defined?
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What role does top management play in an organization?
What role does top management play in an organization?
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What does a management system consist of?
What does a management system consist of?
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What does the term 'policy' signify in an organization?
What does the term 'policy' signify in an organization?
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Which of the following best describes an 'objective'?
Which of the following best describes an 'objective'?
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Which statement about objectives is correct?
Which statement about objectives is correct?
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What is a key feature of a management system?
What is a key feature of a management system?
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Study Notes
Relationship Extraction
- A task to identify relationships among entities in a text.
Sentiment Analysis
- A task to computationally identify and categorize opinions expressed in text, speech, or images.
- Aims to determine the range of feeling, from positive to negative.
- Examples include approval, disapproval, positive/negative toward, agreement/disagreement.
Speech Recognition
- Also known as speech-to-text (STT).
- A functional unit converts a speech signal to a representation of the speech content.
Speech Synthesis
- Also known as text-to-speech (TTS).
- Creates artificial speech.
Computer Vision
- A functional unit's capability to acquire, process, and interpret data from images or videos.
- Uses sensors to create digital images of visual scenes, including those beyond visible light (e.g., infrared).
Organization
- A person or group with its own functions, responsibilities, authorities, and relationships to achieve its objectives.
- Includes sole-trader, company, corporation, firm, enterprise, authority, partnership, charity, institution, or parts or combinations thereof, whether incorporated or not, public or private.
- If part of a larger entity, "organization" refers only to the part within the AI management system scope.
Interested Party
- A person or organization that can affect, be affected by, or perceive itself to be affected by a decision or activity.
- Overview in ISO/IEC 22989:2022, 5.19.
Top Management
- Person(s) who direct and control an organization at the highest level.
- Has power to delegate authority and provide resources within the organization.
- If the management system scope is only part of an organization, top management refers to those directing that part.
Management System
- Set of interrelated or interacting elements of an organization to establish policies and objectives, and processes to achieve them.
- Can address a single discipline or several disciplines.
- Includes organization's structure, roles, responsibilities, planning, and operation.
Policy
- Organization's intentions and direction, formally expressed by top management.
Objective
- Result to be achieved.
- Can be strategic, tactical, or operational.
- Can relate to different disciplines (e.g., finance, health, safety, environment).
- Can be organization-wide or specific to a project, product, or process.
- Expressed as an intended result, purpose, operational criterion, AI objective, or similar terms (e.g., aim, goal, target).
- In AI management systems, AI objectives, set by the organization, are consistent with the AI policy, to achieve specific results.
Risk
- Effect of uncertainty.
- Effect is a deviation from the expected (positive or negative).
- Uncertainty is the state of deficiency in information, understanding, or knowledge of an event, consequence, or likelihood.
- Often characterized by potential events and consequences, or a combination.
- Often expressed in terms of consequences and likelihood of occurrence.
Process
- Set of interrelated or interacting activities that use or transform inputs to deliver a result.
- Result can be called output, product, or service, depending on context.
Competence
- Ability to apply knowledge and skills to achieve intended results.
Documented Information
- Information required to be controlled and maintained by an organization, and the medium it's contained on.
- Can be in any format and media from any source.
- Can refer to the management system, related processes, information for operations, or evidence of results (records).
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Description
This quiz covers fundamental concepts related to natural language processing, including relationship extraction, sentiment analysis, speech recognition, and speech synthesis. It evaluates your understanding of how machines interpret and generate human language, as well as their ability to understand visual data through computer vision. Test your knowledge on these essential topics in AI and NLP.