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Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization

Zopf, Markus and Loza Mencía, Eneldo and Fürnkranz, Johannes (2016):
Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization.
In: Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL 2016), Association for Computational Linguistics, Berlin, Germany, [Online-Edition: http://www.aclweb.org/anthology/K16-1009],
[Conference or Workshop Item]

Item Type: Conference or Workshop Item
Erschienen: 2016
Creators: Zopf, Markus and Loza Mencía, Eneldo and Fürnkranz, Johannes
Title: Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization
Language: German
Title of Book: Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning (CoNLL 2016)
Publisher: Association for Computational Linguistics
Uncontrolled Keywords: AIPHES_area_c2
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Knowl­edge En­gi­neer­ing
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Research Training Group 1994 Adaptive Preparation of Information from Heterogeneous Sources
Event Location: Berlin, Germany
Date Deposited: 30 Dec 2016 17:45
Official URL: http://www.aclweb.org/anthology/K16-1009
Identification Number: TUD-CS-2016-0154
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