Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 53 for “"External knowledge"”.
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Visual question answering using external knowledge
… requires combining observations with general knowledge. While this is effortless for humans, reasoning with general knowledge remains an algorithmic challenge. To advance research in this direction, a novel `fact-based' visual question answering (FVQA) task has been introduced recently along …
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Internal Capital, External Knowledge, and Random Draws: Three Drivers of Organizational Structure
… conditions, be more efficient than prevailing external markets, and that this may drive group affiliation even in developed economies. In Chapter 2, I bridge current streams of innovation research to explore the interplay between R&D, external knowledge, and organizational structure–three …
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Organizational Capacity to Absorb External Knowledge: An Exploratory Study of Public and Nonprofit Decision Makers' Perceptions of Impediments and Facilitators
… level. The rationale for this study was that knowledge of evidence-based innovations in youth violence prevention originates primarily from research scientists who are external to the organizations that are the intended recipients of the innovations. Prior research has not viewed the failure …
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Bridging local and external knowledge for disaster risk management planning: The perceived benefit of participatory 3D modelling in Umgungundlovu District Municipality, South Africa
… management legislation emphasises the indigenous knowledge of people who are most affected when hazards turn into disaster. Participatory GIS in the form of activities building and using three-dimensional models (P3DM) has been used internationally to enhance community engagement and to ensure …
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Injection of Domain-Specific Knowledge for Enterprise Text-to-SQL
… to work with enterprise data as well as using knowledge-injection to enhance the performance of LLMs on Text-to-SQL tasks. We begin by evaluating the baseline performance of LLMs on enterprise databases, revealing that a predominant source of failure stems from a lack of domain-specific …
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Data-driven assistance for user decision making on mobile devices
… user decision making is through suggesting external knowledge to bridge their knowledge gap. To this end, we propose to learn or mine such external knowledge from massive mobile-related data. We investigate three important real-world decision-making problems on mobile devices: mobile …
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An evaluation of the school based action research project : 'making science more challenging for gifted primary children'
… three inter linking and necessary components; external knowledge, creating knowledge and knowing-in-action. The model was formulated from experience gained when acting as a critical friend to the teacher researchers. Essentially, professional development aims at changing teachers' …
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Towards Rigorously Tested & Reliable Machine Learning for Health
… from causality and statistics, incorporating external knowledge into the process of both model validation and design. External knowledge can come from a variety of sources, including human experts (e.g., clinicians) or gold-standard data (e.g., from randomized trials). First, I introduce …
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Knowledge management in banking industry : comparative analysis between U.S. and Japan
… and how they revived. In this thesis, I focus on knowledge management in banking firms, because human resource and both internal and external knowledge is one of the most important assets for banks. Even though banking firms have many business fields for which knowledge is useful, I pick up and …
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Discovering latent topical phrases in document collections and networks with text components: Leveraging text mining and information network analysis for human oriented applications
… human-readable topics, or are forced to use external knowledge bases. Furthermore, while document collections naturally contain topics at different levels of granularity (general vs. specific), very few traditional methods focus on generating high quality hierarchical topic structures. This …
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Learning to Improve Clinical Decisions and AI Safety by Leveraging Structure
… in medical data along with the availability of external knowledge to guide model predictions. Additionally, we develop differentially private (DP) training techniques using gradient structure to mitigate privacy leakage. In this thesis, we develop methods on different medical modalities such as …
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Empirical essays on open innovation
… With open contribution, a firm allows external organizations and individuals to actively participate in its development of new products. While the firm permits external contributions to its new product development (NPD) process, it retains internal control over the resulting innovation …
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Steigerung der Marktorientierung von oberösterreichischen KMU durch externen Wissenstransfer
… and how these deficits can be reduced through external knowledge transfer. This paper addresses this problem and examines it on the basis of the Austrian specific situation of the Chamber of Commerce as knowledge provider and its member companies as knowledge consumers. This special …
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Augmenting Multi-modal Question Answering Systems with Retrieval Methods
… in incorporating extensive domain-specific knowledge and mitigating the generation illusion inherent in large language models. This thesis explores the integration of retrieval-augmented generation (RAG) into multi-modal question answering (QA) systems as a solution to these challenges. By …
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Multi task learning and incorporating common sense knowledge for question answering
… develop novel ways of incorporating common sense knowledge from external knowledge bases for automated question answering. The models developed for these tasks help to advance research in the area of question answering and highlights some of the shortcomings of the methods proposed in literature.
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ADAPTIVE FRAMEWORKS FOR KNOWLEDGE EXTRACTION IN HETEROGENEOUS DATA ENVIRONMENTS
… presents a significant challenge for effective knowledge extraction, due to the heterogeneous nature and the complexity of extracting meaningful patterns in environments presenting diverse data types. This thesis proposes SHIFT, the first seed-guided hierarchical topic modelling framework …
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Leveraging Structure and Knowledge in Clinical and Biomedical Representation Learning
… can also take advantage of the significant external knowledge in the biomedical domain. In this thesis, I will explore novel pre-training and representation learning strategies for biomedical data which leverage external structure or knowledge to inform learning at both local and global …
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Integrating local context and global cohesiveness for open information extraction
… to different domains as it uses facts from external knowledge bases as supervision; and can effectively score sentence-level tuple extractions based on corpus-level statistics. Specifically, we design a joint optimization problem to unify (1) segmenting entity/relation phrases in individual …
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An expert system for off-line analysis of rotating equipment
… of the PC-based Turbo Prolog expert shell and external knowledge-base editor. The use of the system editor is illustrated by loading current diagnostic table information into a knowledge base. Then the expert program's operation is illustrated by applying the editor-formed database in a typical …
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