@InProceedings{camargodesouza-EtAl:2018:W18-65,
  author    = {Camargo de Souza, José G.  and  Kozielski, Michael  and  Mathur, Prashant  and  Chang, Ernie  and  Guerini, Marco  and  Negri, Matteo  and  Turchi, Marco  and  Matusov, Evgeny},
  title     = {Generating E-Commerce Product Titles and Predicting their Quality},
  booktitle = {Proceedings of the 11th International Conference on Natural Language Generation},
  month     = {September},
  year      = {2018},
  address   = {Tilburg University, The Netherlands},
  publisher = {Association for Computational Linguistics},
  pages     = {233--243},
  abstract  = {E-commerce platforms present products using titles that summarize product information. These titles cannot be created by hand, therefore an algorithmic solution is required. The task of automatically generating these titles given noisy user provided listing titles is one way to achieve the goal. The setting requires the generation process to be fast and the generated title to be both human-readable and concise. Furthermore, we need to understand if such generated titles are usable. As such, we propose approaches that (i) automatically generate product titles, (ii) predict their quality. Our approach scales to millions of products and both automatic and human evaluations performed on real-world data indicate our approaches are effective and applicable to existing e-commerce scenarios.},
  url       = {http://www.aclweb.org/anthology/W18-6530}
}