Using machine learning to generate headlines

被引：0

作者：

Wang, RC ^{[1
]}

Stokes, N ^{[1
]}

Doran, W ^{[1
]}

Dunnion, J ^{[1
]}

Carthy, J ^{[1
]}

机构：

[1] Univ Coll Dublin, Dept Comparat Biosci, Intelligent Informat Retrieval Grp, Dublin 2, Ireland

来源：

MLMTA '05: Proceedings of the International Conference on Machine Learning Models Technologies and Applications | 2005年

关键词：

machine learning; headline generation; statistical techniques; DUC;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present a system which generates headlines for a text. Our system, the HybridTrim system, uses a linguistic, statistical and positional information in combination with a machine learning technique to identify topic labels for headlines in a text. In this paper, we compare our system with the Topiary system which, in contrast, uses a statistical learning approach to finding topic descriptors for headlines. Both systems combine these topic descriptors with a compressed version of the lead sentence. The performance of these systems is evaluated using the ROUGE evaluation suite on the DUC 2004 news stories collection.

引用

页码：167 / 172

页数：6

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