Sentence extraction by graph neural networks

Authors:
Donatella Muratore;Markus Hagenbuchner;Franco Scarselli;Ah Chung Tsoi
Affiliations:
University of Siena, Siena, Italy;University of Wollongong, Wollongong, Australia;University of Siena, Siena, Italy;Hong Kong Baptist University, Hong Kong
Venue:
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Year:
2010

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Abstract

In this paper, we will apply a recently proposed connectionist model, namely, the Graph Neural Network, for processing the graph formed by considering each sentence in a document as a node and the relationship between two sentences as an edge. Using commonly accepted evaluation protocols, the ROGUE toolkit, the technique was applied to two text summarization benchmarks, namely DUC-2001 and DUC-2002 respectively. It is found that the results obtained are comparable to the best results achieved using other techniques.