tokens: For DocRED, we consider additional competing methods: Two Phase (Wang et al., 2019), which first predicts whether the entity pair has a relation and then predicts the relation type; LSR (Nan et al., 2020), which constructs the graph by inducing a latent document-level graph; Reconstructor (Xu et al., 2021b), which encourages the model to reconstruct a reasoning path during training; DRN (Xu et al., 2021a), which considers different reasoning skills explicitly and uses graph representation and context representation to model the reasoning skills; ATLOP (Zhou et al., 2021), which aggregates contextual information by the Transformer attentions and adopts an adaptive threshold for different entity pairs; and DocuNet (Zhang et al., 2021), which models DocRE as a semantic segmentation task.