@InProceedings{chenal-cheung:2016:COLING,
  author    = {Chenal, Victor  and  Cheung, Jackie Chi Kit},
  title     = {Predicting sentential semantic compatibility for aggregation in text-to-text generation},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {1061--1070},
  abstract  = {We examine the task of aggregation in the context of text-to-text generation.
	We introduce a new aggregation task which frames the process as grouping input
	sentence fragments into clusters that are to be expressed as a single output
	sentence. We extract datasets for this task from a corpus using an automatic
	extraction process. Based on the results of a user study, we develop two
	gold-standard clusterings and corresponding evaluation methods for each
	dataset. We present a hierarchical clustering framework for predicting
	aggregation decisions on this task, which outperforms several baselines and can
	serve as a reference in future work.},
  url       = {http://aclweb.org/anthology/C16-1101}
}