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Pairwise Representation Learning for Event Coreference. (arXiv:2010.12808v2 [cs.CL] UPDATED)
Jan. 24, 2022, 2:10 a.m. | Xiaodong Yu, Wenpeng Yin, Dan Roth
cs.CL updates on arXiv.org arxiv.org
Natural Language Processing tasks such as resolving the coreference of events
require understanding the relations between two text snippets. These tasks are
typically formulated as (binary) classification problems over independently
induced representations of the text snippets. In this work, we develop a
Pairwise Representation Learning (PairwiseRL) scheme for the event mention
pairs, in which we jointly encode a pair of text snippets so that the
representation of each mention in the pair is induced in the context of the
other …
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