Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning
The multiple relation extraction task tries to extract all relational facts from a sentence. Existing works didn{'}t consider the extraction order of relational facts in a sentence. In this paper we argue that the extraction order is important in this task. To take the extraction order into consideration, we apply the reinforcement learning into a sequence-to-sequence model. The proposed model could generate relational facts freely. Widely conducted experiments on two public datasets demonstrate the efficacy of the proposed method.
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