Implicit Inter-sentence relationship analysis plays an important role in discourse relationship recognition. The difficulty of implicit inter-sentence relation recognition lies in the fact that the corpus of this task does not have connectives similar to explicit inter-sentence relation and lacks good features. At the same time, the scarcity of data sets and the uneven distribution of samples are also the reasons why the implicit sentence relation recognition can not be well solved. In this paper, we propose an implicit inter-sentence relationship recognition analysis method based on multi-task gated memory network. Through experiments, the method in this paper achieves good recognition performance.
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