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Using network metrics to explore the community structure that underlies movement patterns
This work aims to explore the community structure of Santiago de Chile by analyzing the movement patterns of its residents.
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization
While the conventional approaches rely on human crafted document-independent features to generate a summary, we develop a data-driven novel summary system called HNet, which exploits the various semantic and compositional aspects latent in a sentence to capture document independent features.
Hybrid MemNet for Extractive Summarization
Extractive text summarization has been an extensive research problem in the field of natural language understanding.
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