Exploring events and distributed representations of text in multi-document summarization

In this article, we explore an event detection framework to improve multi-document summarization. Our approach is based on a two-stage single-document method that extracts a collection of key phrases, which are then used in a centrality-as-relevance passage retrieval model. We explore how to adapt t...

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Bibliographic Details
Main Author: Marujo, L. (author)
Other Authors: Ling, W. (author), Ribeiro, R. (author), Gershman, A. (author), Carbonell, J. (author), de Matos, D. (author), Neto, J. P. (author)
Format: article
Language:eng
Published: 2016
Subjects:
Multi-document summarization
Extractive summarization
Event detection
Distributed representations of text
Online Access:http://hdl.handle.net/10071/11022
Country:Portugal
Oai:oai:repositorio.iscte-iul.pt:10071/11022

Internet

http://hdl.handle.net/10071/11022

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