Concept generalization and fusion for abstractive sentence generation

作者：

Highlights：

• We present our methodology for the generalization and fusion of concepts

• We define the notion of sentence generalization

• This work should be useful in intelligent systems

• We have proposed three approaches to find the one that will perform better

• The ML-based approach has benefited from the strength of two features

摘要

•We present our methodology for the generalization and fusion of concepts•We define the notion of sentence generalization•This work should be useful in intelligent systems•We have proposed three approaches to find the one that will perform better•The ML-based approach has benefited from the strength of two features

论文关键词：Artificial intelligence,Natural language processing,Text summarization,Concept fusion,Concept generalization,WordNet

论文评审过程：Received 5 January 2015, Revised 24 December 2015, Accepted 8 January 2016, Available online 19 January 2016, Version of Record 8 February 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.01.007