"natural language descriptions of typical sequences of events, written by hand (Regneri, Koller, and Pinkal 2010; Regneri et al. 2011; Modi and Titov 2013; Frermann, Titov, and Pinkal 2014)." (see Granroth-wilding & Clark (2015)[1]).

Regneri et al. (2010) Edit

"Regneri et al.(2010)[2] collected short textual descriptions (called event sequence descriptions, ESDs) of various types of human activities (e.g., going to a restaurant, ironing clothes) using crowdsourcing (Amazon Mechanical Turk), this dataset was also complemented by descriptions provided in the OMICS corpus (Gupta & Kochenderfer, 2004). The datasets are fairly small, containing 30 ESDs per activity type in average (we will refer to different activities as scenarios), but the collection can easily be extended given the low cost of crowdsourcing. The ESDs are written in a bullet-point style and the annotators were asked to follow the temporal order in writing. Consider an example ESD for the scenario prepare coffee: {go to coffee maker} --> {fill water in coffee maker} --> {place the filter in holder} --> {place coffee in filter} --> {place holder in coffee maker} --> {turn on coffee maker}"

References Edit

  1. Granroth-wilding, M., & Clark, S. (2015). What Happens Next ? Event Prediction Using a Compositional Neural Network Model.
  2. Regneri, M., Koller, A., & Pinkal, M. (2010, July). Learning script knowledge with web experiments. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (pp. 979-988). Association for Computational Linguistics.