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Showing 1 to 7 of 7 for “"automatic text summarization"”.
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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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Methods of sentence extraction, abstraction and ordering for automatic text summarization
… for tackling both the extractive and abstractive text summarization tasks. We implement a rank based extractive sentence selection algorithm. For ensuring a pure sentence abstraction, we propose several novel sentence abstraction techniques which jointly perform sentence compression, fusion, and …
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Generating Canonical Sentences from Question-Answer Pairs of Deposition Transcripts
… to read. This gives us a need to develop some automatic text-summarization method for the same. The present-day summarization systems do not support this form of text, entailing a need to process them. This creates a need to parse such documents and extract QA pairs as well as any relevant …