@InProceedings{mathur-ueffing-leusch:2017:INLG2017,
  author    = {Mathur, Prashant  and  Ueffing, Nicola  and  Leusch, Gregor},
  title     = {Generating titles for millions of browse pages on an e-Commerce site},
  booktitle = {Proceedings of the 10th International Conference on Natural Language Generation},
  month     = {September},
  year      = {2017},
  address   = {Santiago de Compostela, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {158--167},
  abstract  = {We present two approaches to generate titles for browse pages in five different
	languages, namely English, German, French, Italian and Spanish.
	These browse pages are structured search pages in an e-commerce domain.
	We first present a rule-based approach to generate these browse page titles.
	In addition, we also present a hybrid approach which uses a phrase-based
	statistical machine translation engine on top of the rule-based system to
	assemble the best title. 
	For the two languages English and German we have access to a large amount of
	already available rule-based generated and curated titles.
	For these languages we present an automatic post-editing approach which learns
	how to post-edit the rule-based titles into curated titles.},
  url       = {http://www.aclweb.org/anthology/W17-3525}
}