Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization

Abstract

Automated multi-document extractive text summarization is a widely studied research problem in the field of natural language understanding. Such extractive mechanisms compute in some form the worthiness of a sentence to be included into the summary. While the conventional approaches rely on human crafted document-independent features to generate a summary… (More)

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