@InProceedings{levy-EtAl:2016:COLING,
  author    = {Levy, Omer  and  Dagan, Ido  and  Stanovsky, Gabriel  and  Eckle-Kohler, Judith  and  Gurevych, Iryna},
  title     = {Modeling Extractive Sentence Intersection via Subtree Entailment},
  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     = {2891--2901},
  abstract  = {Sentence intersection captures the semantic overlap of two texts, generalizing
	over paradigms such as textual entailment and semantic text similarity. Despite
	its modeling power, it has received little attention because it is difficult
	for non-experts to annotate. We analyze 200 pairs of similar sentences and
	identify several underlying properties of sentence intersection. We leverage
	these insights to design an algorithm that decomposes the sentence intersection
	task into several simpler annotation tasks, facilitating the construction of a
	high quality dataset via crowdsourcing. We implement this approach and provide
	an annotated dataset of 1,764 sentence intersections.},
  url       = {http://aclweb.org/anthology/C16-1272}
}