We propose a new task of extracting event-event relations across documents. We present our efforts at designing an annotation schema and building a corpus for this task. Our schema includes five main types of relations: Inheritance, Expansion, Contingency, Comparison and Temporality, along with 21 subtypes. We also lay out the main challenges based on detailed inter-annotator disagreement and error analysis. We hope these resources can serve as a benchmark to encourage research on this new problem.
CITATION STYLE
Hong, Y., Zhang, T., O’Gorman, T., Horowit-Hendler, S., Ji, H., & Palmer, M. (2016). Building a Cross-document Event-Event Relation Corpus. In LAW 2016 - 10th Linguistic Annotation Workshop, held in conjuncion with ACL 2016 - Workshop Proceedings (pp. 1–6). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w16-1701
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