Zero-Shot Transfer Learning for Event Extraction

    meeting of the association for computational linguistics, Volume abs/1707.01066, 2018.

    Cited by: 27|Bibtex|Views23|Links
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    Abstract:

    Most previous event extraction studies have relied heavily on features derived from annotated event mentions, thus cannot be applied to new event types without annotation effort. In this work, we take a fresh look at event extraction and model it as a grounding problem. We design a transferable neural architecture, mapping event mentions ...More

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