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Showing 1 to 20 of 38 for “"Text summarization"”.
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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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Comparative text summarization of product reviews
… and scoring features from natural language text for qualitative reviews in a particular domain. When shopping for a product, customers do not find sufficient time to learn about all products on the market. Similarly, manufacturers do not have proper written sources from which to learn about …
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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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Evaluation of Automatic Text Summarization Using Synthetic Facts
<p>Automatic text summarization has achieved remarkable success with the development of deep neural networks and the availability of standardized benchmark datasets. It can generate fluent, human-like summaries. However, the unreliability of the existing evaluation metrics hinders its practical …
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Evolution of a text summarization system in an automatic evaluation framework
CALLISTO is a text summarizer that searches through a space of possible configurations for the best one. This is different from other systems since it allows CALLISTO (1) to choose adequate components based on results obtained on the training data (and thus, to choose a configuration better adapted …
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Structural Robustness of Transformer Models for Clinical Text Summarization on MIMIC-III
… is evaluated exclusively on well-formatted text. In practice, clinical notes undergo structural degradation through hospital mergers, EHR migrations, and copy-paste practices, conditions that no prior study has tested for summarization. This thesis evaluates five models (BART-CNN, BioBART, …
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Automatically identifying facet roles from comparative structures to support biomedical text summarization
Within the context of biomedical scholarly articles, comparison sentences represent a rhetorical structure commonly used to communicate findings. More generally, comparison sentences are rich with information about how the properties of one or more entities relate one another. So far, in the …
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Automatic classification of documents with an in-depth analysis of information extraction and automatic summarization
… Extraction, Information Retrieval, and text summarization is depicted. Specific details regarding the coding process, competition, business model, and technology employed in the project are also discussed.
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A system analysis of improvements in machine learning
… as voice transcription, language translation, text summarization topic extraction and sentiment analysis. Moreover, current implementations are run in an offline batch-mode operation and are unfit for real time needs. Newer machine learning algorithms are being designed that make better use of …
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Distilling Public Data from Multiple Sources for Cybersecurity Appplications
… of fake news and malicious users. A survey of text summarization techniques to identify the best method for summarizing public data in the domain of cybersecurity is presented. A web application is also created to serve as a public tool for users to summarize input text of their choosing using …
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Utilizing the Transformer Architecture for Question Answering
… for a given question by utilizing different contextualized embeddings with the encoder of transformer. For answer summary generation, we study the query focused abstractive text summarization task to generate a summary in natural language from the source document(s) for a given query. For this …
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Uncertainty Estimation on Natural Language Processing
Text plays a pivotal role in our daily lives, encompassing various forms such as social media posts, news articles, books, reports, and more. Consequently, Natural Language Processing (NLP) has garnered widespread attention. This technology empowers us to undertake tasks like text classification, …
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Towards abstractive captioning of infographics
Machine understanding of text-based narratives have predominantly focused on documents with rigid hierarchical structures and sequentially ordered inputs. These inputs include documents such as news stories, encyclopedia entries, books, and many others. However, little research has focused on …
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TextDive: construction, summarization and exploration of multi-dimensional text corpora
With massive datasets accumulating in text repositories (e.g., news articles, customer reviews, etc.), it is highly desirable to systematically utilize and explore them by data mining, NLP and database techniques. In our view, documents in text corpora contain informative explicit meta-attributes …
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