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Memorizing All for Implicit Discourse Relation Recognition
[article]
2019
arXiv
pre-print
Implicit discourse relation recognition is a challenging task due to the absence of the necessary informative clue from explicit connectives. The prediction of relations requires a deep understanding of the semantic meanings of sentence pairs. As implicit discourse relation recognizer has to carefully tackle the semantic similarity of the given sentence pairs and the severe data sparsity issue exists in the meantime, it is supposed to be beneficial from mastering the entire training data. Thus
arXiv:1908.11317v1
fatcat:bxl4bgebwfae3gnyb6tp4yh2qq