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 “"Automatic summarization"”.
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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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Automatic classification of documents with an in-depth analysis of information extraction and automatic summarization
… (named I-Document) that establishes an automatic classification scheme in a peer-to-peer environment that allows free sharing of academic, business, and personal documents. A Web service architecture for metadata extraction, Information Extraction, Information Retrieval, and text …
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A System for Natural Language Unmarked Clausal Transformations in Text-to-Text Applications
… be fed into text-to-text applications such as Automatic Summarization, Question Answering, and Machine Translation, where complex sentences are difficult to process. Grammatical natural language transformations provide a possible method to simplify complex sentences to enhance the results of …
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High compression rate text summarization
… rate 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 …
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Improving Deposition Summarization using Enhanced Generation and Extraction of Entities and Keywords
… be lengthy, which raises the need for applying summarization methods to the documents. Though many automatic summarization methods are available, not all of them give good results, especially in the legal domain. This creates a need to process the QA pairs and develop methods to help summarize …
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Computational perception for multi-modal document understanding
… search, information retrieval, captioning and summarization, and automated design. This thesis makes contributions on two fronts: (i) to the development of data collection methods for measuring how humans perceive multimodal documents (i.e., where they look, what they find important), and (ii) …
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A Study on the Application of Natural Language Processing Methods to Scientific Text
… search across 100s of millions of papers, and automatic summarization. In this dissertation, I study the methods behind these applications to (1) understand failure modes, (2) reduce the dependence on labelled training data, and (3) develop novel and performant solutions. I make several …
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Contrastive Text Generation
… may not agree with each other. While the automatic summarization methods developed in the recent decade excel in single document and multi-document scenarios with high content overlap amongst inputs, there is an increasing need to automate comparative summarization. This is evident by the …
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Summarizing Legal Depositions
… form of questions and answers. Applying current automatic summarization methods to these documents results in low-quality summaries. Though extensive research has been performed in the area of summarization, not all methods succeed in all domains. Accordingly, this research focuses on developing …
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Improving Search Results with Automated Summarization and Sentence Clustering
… the feasibility of using automated document summarization and clustering to do just that. The results indicate that such methods can make search engines more precise, more efficient, and faster, but not without costs.