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Showing 1 to 20 of 196 for “"Summarization"”.
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Causal Graph Summarization
… applications. Existing methods for graph summarization developed in other domains, such as graphics, social networking, and mapping, are not guaranteed to provide a summarized graph eligible for use in causal analysis tasks; some methods even result in introducing spurious causal …
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Opinion integration and summarization
… on the problem of opinion integration and summarization whose goal is to better support user digestion of huge amounts of opinions for an arbitrary topic. To systematically study this problem, we have identified three important dimensions of opinion analysis: separation of aspects (or …
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Automatic Summarization of Financial Reports
… sentences in the document as part of the summarization algorithm. We illustrate the superiority of a financially tuned language model. Further, it is shown that simple non-parametric sentence embeddings achieve ROUGE scores that are comparable to or even better than those produced by …
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High compression rate text summarization
… has thus far been beyond the reach of automatic summarization systems. The potency of our summarization methods is due to their in-depth modelling of document content in a probabilistic framework. We explore two types of document representation that capture orthogonal aspects of text content. The …
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Event-centric Twitter photo summarization
… collection well. While the definition for a good summarization might not be unique, we focus on two metrics in this thesis: representativeness and diversity. By representativeness we mean that the sampled photo should be similar to other photos in the data set. The intuition behind this is that by …
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On Improving Backwards Reasoning with Symbolic Execution: Integrating Loop Summarization, Alias Analysis, and Compositional Summarization
… CAMS, a compositional approach for function summarization in backwards analysis. CAMS introduces context-agnostic function summaries that capture pointer and global variable effects while supporting modular composition. By enabling the reuse of summaries across different program units, CAMS …
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Comparative text summarization of product reviews
… empirically how different algorithms on this summarization can be derived from the technique provided by an annotator. Finally, I review diversified options for customers such as providing alternate products for each feature, top features of a product, and overall rankings for products.
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Guided text summarization with limited supervision
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms
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Text cube: construction, summarization and mining
… user guidance; the other is to develop effective summarization and mining techniques tailored for multi-dimensional queries on text cubes. In the first part of the thesis, the problem of \emph{dimension-based structure creation} is studied. We propose an end-to-end framework for extracting …
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Unsupervised summarization of public talk radio
… compression" for neural unsupervised summarization of spoken opinion in conversational dialogue. By relying on an unsupervised framework that obviates the need for labeled data, the summarization task becomes largely agnostic to human input beyond necessary decisions regarding model …
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Generative Models for Domain-Specific Summarization
… the performance of generative models of summarization in aviation safety domain. Models such as DaVinci, Text-DaVinci-003, and GPT-3.5-Turbo were analyzed in both their zero-shot learning and fine-tuned performance against state-of-the-art models. In zero-shot learning, generative models …
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Radiology Report Summarization With Large Language Models
… fine-tuning strategy for radiology report summarization using both decoder-only and encoder-decoder large language models (LLMs), specifically LLaMa 3.1-8B-Instruct and T5-Base. In the first stage, we fine-tune each model on MIMIC-CXR, a large publicly available dataset of chest radiographs …
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Semantic Based Content Search and Content Summarization
Document summarization has been an intriguing task of Computational linguistics. A number of definitions have been proposed in References, all of which consider document summarization as a problem of text compression. One of the most complete definitions by Sparck-Jones states that "...a summary is …
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Video indexing and summarization using motion activity
… characteristics and their application to video summarization are presented. The MPEG-7 motion activity feature is defined as the subjective level of activity or motion in a video segment. First, a novel psychophysical and analytical framework for automatic measurement of motion activity in …
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