1 research outputs found
End-to-End Neural Event Coreference Resolution
Traditional event coreference systems usually rely on pipeline framework and
hand-crafted features, which often face error propagation problem and have poor
generalization ability. In this paper, we propose an End-to-End Event
Coreference approach -- E3C neural network, which can jointly model event
detection and event coreference resolution tasks, and learn to extract features
from raw text automatically. Furthermore, because event mentions are highly
diversified and event coreference is intricately governed by long-distance,
semantic-dependent decisions, a type-guided event coreference mechanism is
further proposed in our E3C neural network. Experiments show that our method
achieves new state-of-the-art performance on two standard datasets