Learning Semantic Script Knowledge with Event Embeddings

Ashutosh Modi, Ivan Titov

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Induction of common sense knowledge about prototypical sequences of events has recently received much attention. Instead of inducing this knowledge in the form of graphs, as in much of the previous work, in our method, distributed representations of event realizations are computed based on distributed representations of predicates and their arguments, and then these representations are used to predict prototypical event orderings. The parameters of the compositional process for computing the event representations and the ranking component of the model are jointly estimated from texts. We show that this approach results in a substantial boost in ordering performance with respect to previous methods.
Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Learning Representations (Workshop track)
Place of PublicationBanff, Canada
Number of pages5
Publication statusPublished - 2014


Dive into the research topics of 'Learning Semantic Script Knowledge with Event Embeddings'. Together they form a unique fingerprint.

Cite this