A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization

Xinyu Hua, Lu Wang
2017 Proceedings of the Workshop on New Frontiers in Summarization  
We study the problem of domain adaptation for neural abstractive summarization. We make initial efforts in investigating what information can be transferred to a new domain. Experimental results on news stories and opinion articles indicate that neural summarization model benefits from pre-training based on extractive summaries. We also find that the combination of in-domain and out-of-domain setup yields better summaries when in-domain data is insufficient. Further analysis shows that, the
more » ... l is capable to select salient content even trained on out-of-domain data, but requires in-domain data to capture the style for a target domain.
doi:10.18653/v1/w17-4513 dblp:conf/emnlp/HuaW17 fatcat:53kmpbiz5favjb45emdavasfmy