Multi-Sentence Argument Linking

ACL 2020 Seth EbnerPatrick XiaRyan CulkinKyle RawlinsBenjamin Van Durme

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... (read more)

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