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 11 of 11 for “"document understanding"”.
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Consistent and efficient long document understanding
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-03-01 without embargo terms
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Computational perception for multi-modal document understanding
Multimodal documents occur in a variety of forms, as graphs in technical reports, diagrams in textbooks, and graphic designs in bulletins. Humans can efficiently process the visual and textual information contained within to make decisions on topics including business, healthcare, and science. …
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M3D: Multimodal MultiDocument Fine-Grained Inconsistency Detection
… is a highly challenging task that involves understanding how each factual assertion within the claim relates to a set of trusted source materials. Existing approaches often make coarse-grained predictions but fail to identify the specific aspects of the claim that are troublesome and the …
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Arabic multi-document text summarisation
Multi-document summarisation is the process of producing a single summary of a collection of related documents. Much of the current work on multi-document text summarisation is concerned with the English language; relevant resources are numerous and readily available. These resources include human …
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Proposition-based summarization with a coherence-driven incremental model
… which operate on meaning representations of documents have been neglected in the past, although they are a very promising and interesting class of methods for summarization and text understanding. In this thesis, I present one such summarizer, which uses the proposition as its meaning …
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Scalable information extraction with large language models
… question answering, and domain-specific document understanding. Although large language models (LLMs) have broadened the scope of IE through zero-shot and in-context extraction, scalable IE remains challenging in realistic settings, particularly for scientific and other specialized …
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Finding Relevant PDF Medical Journal Articles by the Content of Their Figures as well as Their Text
… through large PDF medical journal article document collections for literature review purposes. Despite users' best efforts to form precise and accurate queries, it is often difficult to guess the right keywords to find all the related articles while finding a minimum number of unrelated …
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Instruction Mining from Images: Constructing a Synthetic Dataset for Multimodal Learning
… που περιλαμβάνουν OCR-intensive reasoning, document understanding, chart reasoning και γενικό multimodal reasoning. Τα αποτελέσματα έδειξαν ότι η συνθετική multimodal supervision μπορεί να βελτιώσει αποτελεσματικά τις επιδόσεις των μοντέλων χωρίς σημαντική υποβάθμιση της γενίκευσης, ενώ …
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Mining entity and relation structures from text: An effort-light approach
… mining tasks? While people can easily access the documents in a gigantic collection with the help of data management systems, they struggle to gain insights from such a large volume of text data: document understanding calls for in-depth content analysis, content analysis itself may require …