Detecting Subevent Structure for Event Coreference Resolution

  title={Detecting Subevent Structure for Event Coreference Resolution},
  author={Jun Araki and Zhengzhong Liu and Eduard H. Hovy and Teruko Mitamura},
In the task of event coreference resolution, recent work has shown the need to perform not only full coreference but also partial coreference of events. We show that subevents can form a particular hierarchical event structure. This paper examines a novel two-stage approach to finding and improving subevent structures. First, we introduce a multiclass logistic regression model that can detect subevent relations in addition to full coreference. Second, we propose a method to improve subevent… CONTINUE READING
Highly Cited
This paper has 24 citations. REVIEW CITATIONS

From This Paper

Figures, tables, results, and topics from this paper.

Key Quantitative Results

  • Using a corpus in the Intelligence Community domain, we show that the method achieves over 3.2 BLANC F1 gain in detecting subevent relations against the logistic regression model.


Publications citing this paper.


Publications referenced by this paper.
Showing 1-10 of 32 references

Similar Papers

Loading similar papers…