Глоссариум по искусственному интеллекту: 2500 терминов. Том 2

Entity annotation – the process of labeling unstructured sentences with information so that a machine can read them. This could involve labeling all people, organizations and locations in a document, for example[465 - Entity annotation [Электронный ресурс] https://bigdataanalyticsnews.com URL: https://bigdataanalyticsnews.com/artificial-intelligence-glossary/ (дата обращения: 27.03.2023)].

Entity extraction is an umbrella term referring to the process of adding structure to data so that a machine can read it.

Entity extraction may be done by humans or by a machine learning model[466 - Entity extraction [Электронный ресурс] https://www.telusinternational.com URL: https://www.telusinternational.com/insights/ai-data/article/50-beginner-ai-terms-you-should-know (дата обращения: 09.04.2023)].

Entropy — the average amount of information conveyed by a stochastic source of data[467 - Entropy [Электронный ресурс] https://appen.com URL: https://appen.com/ai-glossary/ (дата обращения 28.

02.2022)].

Environment in reinforcement learning, the world that contains the agent and allows the agent to observe that world’s state. For example, the represented world can be a game like chess, or a physical world like a maze. When the agent applies an action to the environment, then the environment transitions between states[468 - Environment [Электронный ресурс] https://developers.google.com URL: https://developers.google.com/machine-learning/glossary#environment (дата обращения: 16.

06.2023)].

Episode in reinforcement learning, is each of the repeated attempts by the agent to learn an environment[469 - Episode [Электронный ресурс] https://developers.google.com URL: https://developers.google.com/machine-learning/glossary#episode (дата обращения: 11.07.2023)].

Epoch in the context of training Deep Learning models, is one pass of the full training data set[470 - Эпоха (Epoch) [Электронный ресурс] https://tgdratings.

com URL: https://tgdratings.com/ru/glossary/epoch/ (дата обращения: 11.07.2023)],[471 - Epoch [Электронный ресурс] https://developers.google.com URL: https://developers.google.com/machine-learning/glossary#epoch (дата обращения: 11.07.2023)].

Epsilon greedy policy in reinforcement learning, is a policy that either follows a random policy with epsilon probability or a greedy policy otherwise. For example, if epsilon is 0.