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Neural Abstractive Text Summarization and Fake News DetectionSoheil Esmaeilzadeh
SOEs×Stanford. Edgar Xian Pen
expel×Stanford. Angela EU
AAU×Stanford.abstract
In this work, we study abstractive
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What is neural abstractive text summarization?
Neural abstractive text summarization is a technique that uses neural networks to generate a concise summary of a piece of text.
Who is required to file neural abstractive text summarization?
Researchers, developers, or anyone working on text summarization projects may be required to use neural abstractive text summarization techniques.
How to fill out neural abstractive text summarization?
Neural abstractive text summarization can be filled out by training a neural network model on a dataset of text and summaries, and then using the trained model to generate summaries for new input text.
What is the purpose of neural abstractive text summarization?
The purpose of neural abstractive text summarization is to condense a large amount of text into a shorter, more manageable summary while preserving the key information and meaning.
What information must be reported on neural abstractive text summarization?
The information reported on neural abstractive text summarization includes the input text, the generated summary, and possibly evaluation metrics such as ROUGE scores.
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