How to add more context on Quora?
Answers from top 10 papers
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| Papers (10) | Insight |
|---|---|
11 Jul 2014 | Our proposed method enriches the original text with a new set of words, to add more semantic value by using information extracted from webpages of the same temporal context. |
8 Citations | This study highlights the important role of context and the need for more investigation on context-aware recommender system since exploiting contextual information in recommender systems is an effective approach to create more accurate and relevant recommendations. |
43 Citations | We propose a method to add more semantic signals to enrich short texts. |
| Developing a more detailed and nuanced understanding of how context influences improvement is an important step towards achieving more effective and sustainable quality improvement programmes in healthcare. | |
43 Citations | It has a complete context that reflects the information on documents more comprehensively. |
15 Citations | Combined with the identification of pronominal references (to self and others), this perspective helps to spell out the complex relationship between text and context, in particular how to define a relevant context in a text analysis, and how the text itself constitutes its context. |
02 Jun 2008 31 Citations | This paper describes a new version of the DEN-ng context model, and how this model in conjunction with the DEN-ng policy model can be used for more effective and flexible context management. |
| This is the first realist review of context in QI and contributes to a deeper understanding of how context influences quality improvement initiatives. | |
22 Jun 2007 | It is therefore able to give generalized independet context quality measures and is applicable as an add-on to any context recognition system. |
17 Citations | Communication raters need to be taught how to incorporate context factors into their assessments. |
Related Questions
How to increase context size of LLMs ?5 answersTo increase the context size of Large Language Models (LLMs), several innovative methods have been proposed. Position Interpolation (PI) extends the context window sizes of LLMs up to 32768 with minimal fine-tuning, maintaining strong empirical results. Another approach, Parallel Context Windows (PCW), carves long contexts into chunks and restricts attention mechanisms within each window, enabling off-the-shelf LLMs to process longer text without additional training. Additionally, Selective Context utilizes self-information to filter out less informative content, enhancing the efficiency of fixed context lengths for tasks like summarization and question answering. These methods collectively offer solutions to overcome the limitations posed by fixed context lengths in LLMs, enabling them to handle longer text sequences effectively.
What is the ai-aware contexts?10 answersAI-aware contexts refer to the dynamic and intelligent understanding of the environment and situations by artificial intelligence (AI) systems, enabling them to make informed decisions and provide personalized services. These contexts are crucial across various applications, including healthcare, education, entertainment, marketing, and more, where AI systems adapt their operations based on the understanding of user needs, environmental conditions, and other relevant factors.
In the realm of radio communication, AI-aware contexts involve the acquisition and management of operation-awareness, utilizing machine learning (ML) methods to enrich context information, thereby enhancing the efficiency and functionality of communication networks. Similarly, in intelligent transportation systems (ITS), context awareness significantly improves traffic prediction and decision-making processes by incorporating contextual data such as location, time, weather, and road conditions.
Augmented Reality (AR) applications benefit from AI-aware contexts by adapting to user interactions and environmental conditions, thereby enhancing user experience through personalized and ergonomic interactions. The concept of context is also applied in computer science to support intelligent decision-making in systems designed for specific practical situations, highlighting the importance of context-aware qualities in system development.
Furthermore, the integration of AI with context awareness has led to the development of personalized AI-powered context-aware systems. However, challenges related to the "black box" nature of AI necessitate human–AI collaboration to evolve and eliminate uncertainties in these systems. Security systems also leverage AI-aware contexts to identify suspicious activities and enhance information security decisions based on contextual information such as geolocation and time of day.
In distributed computing systems, AI-aware contexts enable smart devices to autonomously appreciate and adapt to their situation by processing raw context data detected by sensors. Lastly, in Ambient Intelligence (AmI) environments, context awareness is essential for providing users with smart services, requiring suitable context models and reasoning approaches for effective system operation.
Why do you need to write research context?5 answersWriting research context is important because it provides information about the environment in which the research is conducted and helps in interpreting the results. It helps to understand the impact of the context on the research outcomes and emphasizes the significance of context in product development and testing. Additionally, research context helps in examining specific cases and understanding the purposes, processes, outcomes, and impacts of a particular project or space. It also aids in identifying research problems, purposes, and questions, and provides a basis for advancing education in specific fields. Moreover, research context provides background information about alternative educational provisions and the individuals involved, which is crucial for conducting ethnographic and sociolinguistic projects. Lastly, research context helps in understanding the broader policy context and factors influencing the success of projects, such as technology adoption, social value, and barriers to adoption.
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