Event Nugget Detection, Classification and Coreference Resolution using Deep Neural Networks and Gradient Boosted Decision Trees
نویسنده
چکیده
For the shared task of event nugget detection at TAC 2015 we trained a deep feed forward network achieving an official F1-score of 65.31% for plain annotations, 55.56% for event mention type and 49.16% for the realis value. For the task of Event Coreference Resolution we prototyped a simple baseline using Gradient Boosted Decision Trees achieving an overall average CoNLL score of 70.02%. Our code is publicly available on GitHub1.
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