Joint Event Trigger Identification and Event Coreference Resolution with Structured Perceptron

@inproceedings{Araki2015JointET,
  title={Joint Event Trigger Identification and Event Coreference Resolution with Structured Perceptron},
  author={Jun Araki and Teruko Mitamura},
  booktitle={EMNLP},
  year={2015}
}
Events and their coreference offer useful semantic and discourse resources. We show that the semantic and discourse aspects of events interact with each other. However, traditional approaches addressed event extraction and event coreference resolution either separately or sequentially, which limits their interactions. This paper proposes a document-level structured learning model that simultaneously identifies event triggers and resolves event coreference. We demonstrate that the joint model… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 43 REFERENCES

Modeling Biological Processes for Reading Comprehension

VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Unsupervised Event Coreference Resolution

VIEW 1 EXCERPT