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 25 for “"text retrieval"”.
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Sparse multi-level representations for text retrieval
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.
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Supporting Text Retrieval Query Formulation In Software Engineering
<p>The text found in software artifacts captures important information. Text Retrieval (TR) techniques have been successfully used to leverage this information. Despite their advantages, the success of TR techniques strongly depends on the textual queries given as input. When poorly chosen queries …
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TRUST: Clinical Text Retrieval and Use towards Scientific Rigor and Transparent Process
… high-throughput and real-time methods for data retrieval, extraction, and analysis, 2) transparent and reproducible processes to ensure scientific rigor in clinical research, and 3) implementable and generalizable scientific findings. There are many approaches to the derivation of knowledge from …
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Transform Based And Search Aware Text Compression Schemes And Compressed Domain Text Retrieval
… we have witnessed an unprecedented growth of textual information via the Internet, digital libraries and archival text in many applications. While a good fraction of this information is of transient interest, useful information of archival value will continue to accumulate. We need ways to …
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Extraction and Use of Structured Information in Full -Text Retrieval: A Case Study
This work contributes to information retrieval research by providing a more specific and accurate document content representation and consequently more effective full-text retrieval and by providing a better understanding of how structured semantic information can impact full-text retrieval …
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Query Segmentation For E-Commerce Sites
… search using Google n-gram frequencies corpus or text retrieval from relational databases. However, this module is also useful in the domain of E-Commerce for product search. In this thesis, we will discuss query segmentation in the context of the E-Commerce area. We propose a hybrid unsupervised …
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Microevolutionary language theory
… and tracks evolutionary dynamics within text discourse. With this system hundreds of examples of activity suggesting evolutionary significance were distilled from a text collection of many millions of words. Research contributions include: (1) An active replicator model of …
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DATA MINING TECHNIQUES ON VOLCANO MONITORING
… metric space, showing the key applications (from text retrieval to computational biology and so on) and the basic concepts (e.g. metric distance function). The current solutions, together with a model for standardization, are presented in Chapter 2. A novel indexing structure, the K-Pole Tree, …
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From Structured Document To Structured Knowledge
… techniques treat these documents as plain text, neglecting the significance of layout structure and visual signals. Modeling such structures is essential for a comprehensive understanding of these documents. This thesis presents novel algorithms for extracting structured knowledge from …
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Using Language Models to Understand Molecular Structures
In data rich modalities such as text and images, large foundation models have demonstrated remarkable capabilities. However, in life sciences, datasets of comparable scale are prohibitively costly to assemble, pointing towards the imperative need to leverage advances in language modelling to …
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Syntax-based Concept Extraction For Question Answering
… stands squarely along the path from document retrieval to text understanding. As an area of research interest, it serves as a proving ground where strategies for document processing, knowledge representation, question analysis, and answer extraction may be evaluated in real world information …
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A Common Representation Format for Multimedia Documents
… file format combinations, such as image and text, image and sound, or image, text and sound. The type of multimedia document determines the form of analysis for knowledge architecture design and retrieval methods. Over the last few decades, theories of text analysis have been proposed and …
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Learning compact hashing codes with complex objectives from multiple sources for large scale similarity search
… many real world applications including image and text retrieval, content reuse detection and collaborative filtering. The purpose of similarity search is to identify similar data examples given a query example. Due to the explosive growth of the Internet, a huge amount of data such as texts, …
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Multi-triage: A Multi-Task Learning Approach to Bug Triaging
… ranging from the heuristics-based approach, text retrieval approach, and machine learning approach. However, these studies treated the issue of categorization and assignment tasks as a single task learning model and developed a multiple recommendation system. This dissertation aims at …
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Hyperspectral image analysis for questioned historical documents.
… processing to examine historical manuscripts and text. Major activities in palaeographic and manuscript studies include the recovery of illegible or deleted text, the minute analyses of scribal hands, the identification of inks and the segmentation and dating of text. This thesis describes how …
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Investigating user experience and bias mitigation of the multi-modal retrieval of historical data
… Historians have argued that common information retrieval algorithms may further bias results presented to users. While research for mitigating bias in information retrieval is steered in the direction of artificial intelligence and automation, an often-neglected approach is that of user-control. …
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Vision and Language: Information Integration and Transformation
Images and text are large-scale data sources for deep learning models to mimic how humans perceive and understand multimodal information. Combining images and text can construct better feature representations by involving complementary information from different sources. For example, text …
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Ontology-based document representation for biomedical information retrieval
… of biological information, in the form of free-text, has led to a lack of standard in the naming of biological entities. As a result, different genes are referred to with the same name, or acronym, and different names refer to tlze same gene. The ambiguity of free-text is problematic, as the …
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