Unsupervised Text Summarization Using Sentence Embeddings
نویسندگان
چکیده
Dense vector representations of words, and more recently, sentences, have been shown to improve performance in a number of NLP tasks. We propose a method to perform unsupervised extractive and abstractive text summarization using sentence embeddings. We compare multiple variants of our systems on two datasets, show substantially improved performance over a simple baseline, and performance approaching a competitive baseline.
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