To make our model capable of extracting such overlapping segment combinations, we employ the model of neural segmental hypergraphs from , which uses a hypergraph-based representation to encode all the possible combinations of segments without ambiguity.
the segmental hypergraphs adopt a log-linear approach to model the conditional probability of each segment combination for a given sentence: where f (x, s) is the score function for any pair of input sentence x and output segment combination s. In segmental hypergraphs, each segment combination s corresponds to a hyperpath.