Papers with skip-gram word embedding model

1 papers
Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion (C18-1)

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Challenge: a new method for abstractive summarization is being developed for document summarizing . abstractive methods require extensive natural language generation to rewrite the sentences .
Approach: They propose an unsupervised abstractive summarization system in multi-document context . they use a paraphrastic sentence fusion model which performs sentence synthesis and paraphrazing .
Outcome: The proposed model improves information coverage and abstractiveness of generated sentences.

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