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A Graphical Model for Football Story Snippet Synthesis from Large Scale Commentary
A. Vyas, S. Gaikwad,
Published in Springer Verlag
Volume: 10597 LNCS
Pages: 480 - 485
Sports Commentaries offer sparse and redundant information in a lengthy format. Patterns can be observed in news articles written by sports journalists. In this paper, we propose a graphical method to synthesise story snippet from football match commentaries. Our model effectively extracts important information from lengthy text documents. Experimental study reveals that our model closely matches with human expectations. Both qualitative and quantitative analysis proves the effectiveness of our proposed method. © 2017, Springer International Publishing AG.
About the journal
JournalData powered by TypesetLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherData powered by TypesetSpringer Verlag
Open AccessNo