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that focuses on understanding and incorporating contextual information from the input text. The main purpose of a context model is to provide the language model with a better understanding of the context surrounding words, phrases, or sentences, so that it can generate more coherent and contextually
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architectures to capture contextual information from the input sequence. The context model takes into account the relationships between words and their surrounding text, helping the language model understand the meaning of a word in a specific context, handle ambiguities, and generate more accurate
31:(or context modeling) defines how context data are structured and maintained (It plays a key role in supporting efficient context management). It aims to produce a formal or semi-formal description of the context information that is present in a
194:, drawing from historical and re-analysis context data. In general, the approach is to match up current conditions using past data as context and then apply a mix of physics and historical outcomes to form a projection.
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program. A context model used during design defines land, aquatic, or atmospheric characteristics (stated in terms of mathematical algorithms or a simulation) that the eventual product will face in the real
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system. In other words, the context is the surrounding element for the system, and a model provides the mathematical interface and a behavioral description of the surrounding environment.
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as used in systems engineering defines a context model as the physical scope of the system being designed, which could include the user as well as the environment and other actors. A
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In terms of a physical environment, a context model defines the external interfaces that a system will interact with. This type of context model has been used to create models for
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In
Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, pp. 128-135. Association for Computational Linguistics.
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A key role of context model is to simplify and introduce greater structure into the task of developing context-aware applications.
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Wang, Xiao Hang; Zhang, D. Qing; Gu, Tao; Pung, Hung Keng (2004). "Ontology based context modeling and reasoning using OWL".
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107:. Like the context rules of a grammar disambiguating a lexical element, this helps to disambiguate the role of the gene.
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It is used to represent the reusable context information of the components (The top-level classes consist of
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Proceedings of the Second IEEE Annual
Conference on Pervasive Computing and Communications Workshops
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Proceedings of
Communication Networks and Distributed Systems Modeling and Simulation Conference
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The
Engineering Handbook of Smart Technology for Aging, Disability and Independence
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284:"A generative constituent-context model for improved grammar induction."
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Delcher, A.; Harmon, D.; Kasif, S.; White, O.; Salzberg, S. L. (1999).
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Proceedings of the ACM on Human-Computer
Interaction (PACMHCI), 1(1)
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Gu, Tao; Wang, Xiao Hang; Pung, Hung Keng; Zhang, Da Qing (2004).
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Component, Context, and
Manufacturing Model Library – 2 (C2M2L-2)
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A context model can also apply to the surrounding elements in a
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Trullemans, Sandra; Van
Holsbeeke, Lars; Signer, Beat (2017).
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Several examples of context models occur under other domains.
372:"An ontology-based context model in intelligent environments"
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Abdelsalam Helal; Mounir
Mokhtari; Bessam Abdulrazak (2008).
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can provide the probabilities for the surrounding context.
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Rapid integration of software engineering techniques
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170:systems that apply context models include
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163:and coherent responses.
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302:Nucleic Acids Research
243:. Wiley. p. 592.
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