Data filtering in humor generation: comparative analysis of hit rate and co-occurrence rankings as a method to choose usable pun candidates

Pawel Dybala, Rafal Rzepka, Kenji Araki, Kohichi Sayama. Data filtering in humor generation: comparative analysis of hit rate and co-occurrence rankings as a method to choose usable pun candidates. In Xue-wen Chen, Guy Lebanon, Haixun Wang, Mohammed J. Zaki, editors, 21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012. pages 2587-2590, ACM, 2012. [doi]

@inproceedings{DybalaRAS12,
  title = {Data filtering in humor generation: comparative analysis of hit rate and co-occurrence rankings as a method to choose usable pun candidates},
  author = {Pawel Dybala and Rafal Rzepka and Kenji Araki and Kohichi Sayama},
  year = {2012},
  doi = {10.1145/2396761.2398698},
  url = {http://doi.acm.org/10.1145/2396761.2398698},
  researchr = {https://researchr.org/publication/DybalaRAS12},
  cites = {0},
  citedby = {0},
  pages = {2587-2590},
  booktitle = {21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012},
  editor = {Xue-wen Chen and Guy Lebanon and Haixun Wang and Mohammed J. Zaki},
  publisher = {ACM},
  isbn = {978-1-4503-1156-4},
}