@InProceedings{wanzare-EtAl:2017:LSDSem,
  author    = {Wanzare, Lilian  and  Zarcone, Alessandra  and  Thater, Stefan  and  Pinkal, Manfred},
  title     = {Inducing Script Structure from Crowdsourced Event Descriptions via Semi-Supervised Clustering},
  booktitle = {Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {1--11},
  abstract  = {We present a semi-supervised clustering approach to induce script structure
	from crowdsourced descriptions of event sequences by grouping event
	descriptions into paraphrase sets (representing event types) and inducing their
	temporal order. Our approach exploits semantic and positional similarity and
	allows for flexible event order, thus overcoming the rigidity of previous
	approaches. We incorporate crowdsourced alignments as prior knowledge and show
	that exploiting a small number of alignments results in a substantial
	improvement in cluster quality over state-of-the-art models and provides an
	appropriate basis for the induction of temporal order. We also show a coverage
	study to demonstrate the scalability of our approach.},
  url       = {http://aclweb.org/anthology/W17-0901}
}