Multi-Sentence Argument Linking Article Swipe
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Seth Ebner
,
Patrick Xia
,
Ryan Culkin
,
Kyle Rawlins
,
Benjamin Van Durme
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.18653/v1/2020.acl-main.718
· OA: W2983386625
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.18653/v1/2020.acl-main.718
· OA: W2983386625
We present a novel document-level model for finding argument spans that fill an event's roles, connecting related ideas in sentence-level semantic role labeling and coreference resolution. Because existing datasets for cross-sentence linking are small, development of our neural model is supported through the creation of a new resource, Roles Across Multiple Sentences (RAMS), which contains 9,124 annotated events across 139 types. We demonstrate strong performance of our model on RAMS and other event-related datasets.
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