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Conceptual Text Summarizer: A new model in continuous vector space
[article]
2018
arXiv
pre-print
Traditional methods of summarization are not cost-effective and possible today. Extractive summarization is a process that helps to extract the most important sentences from a text automatically and generates a short informative summary. In this work, we propose an unsupervised method to summarize Persian texts. This method is a novel hybrid approach that clusters the concepts of the text using deep learning and traditional statistical methods. First we produce a word embedding based on
arXiv:1710.10994v3
fatcat:7quvsvh7qzf55fydvcligr5kdu