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Enhancing single-document summarization by combining RankNet and third-party sources
Abstract We present a new approach to automatic sumWe present a new approach to automatic summarization based on neural nets, called NetSum. We extract a set of features from each sentence that helps identify its importance in the document. We apply novel features based on news search query logs and Wikipedia entities. Using the RankNet learning algorithm, we train a pair-based sentence ranker to score every sentence in the document and identify the most important sentences. We apply our system to documents gathered from CNN.com, where each document includes highlights and an article. Our system significantly outperforms the standard baseline in the ROUGE-1 measure on over 70% of our document set.1 measure on over 70% of our document set.
Abstractsub We present a new approach to automatic sumWe present a new approach to automatic summarization based on neural nets, called NetSum. We extract a set of features from each sentence that helps identify its importance in the document. We apply novel features based on news search query logs and Wikipedia entities. Using the RankNet learning algorithm, we train a pair-based sentence ranker to score every sentence in the document and identify the most important sentences. We apply our system to documents gathered from CNN.com, where each document includes highlights and an article. Our system significantly outperforms the standard baseline in the ROUGE-1 measure on over 70% of our document set.1 measure on over 70% of our document set.
Bibtextype inproceedings  +
Has author Svore K.M. + , Vanderwende L. + , Burges C.J.C. +
Has extra keyword Automatic summarization + , RankNet + , Search queries + , Wikipedia + , Computational linguistics + , Learning algorithms + , Natural language processing systems +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 448–457  +
Published in EMNLP-CoNLL 2007 - Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning +
Title Enhancing single-document summarization by combining RankNet and third-party sources +
Type conference paper  +
Year 2007 +
Creation dateThis property is a special property in this wiki. 8 November 2014 00:44:13  +
Categories Publications without keywords parameter  + , Publications without license parameter  + , Publications without DOI parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 8 November 2014 00:44:13  +
DateThis property is a special property in this wiki. 2007  +
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Enhancing single-document summarization by combining RankNet and third-party sources + Title
 

 

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