Neural Extractive Text Summarization with Syntactic Compression
EMNLP/IJCNLP (1), pp. 3290-3301, 2019.
Recent neural network approaches to summarization are largely either sentence-extractive, choosing a set of sentences as the summary, or abstractive, generating the summary from a seq2seq model. In this work, we present a neural model for single-document summarization based on joint extraction and compression. Following recent successfu...More
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