Yatian Shen1, Yubo Mai2, Xiajiong Shen2, Wenke Ding2, *, Mengjiao Guo3
CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 529-541, 2020, DOI:10.32604/cmc.2020.011139
Abstract Previous studies have shown that there is potential semantic dependency
between part-of-speech and semantic roles. At the same time, the predicate-argument
structure in a sentence is important information for semantic role labeling task. In this
work, we introduce the auxiliary deep neural network model, which models semantic
dependency between part-of-speech and semantic roles and incorporates the information
of predicate-argument into semantic role labeling. Based on the framework of joint
learning, part-of-speech tagging is used as an auxiliary task to improve the result of the
semantic role labeling. In addition, we introduce the argument recognition layer in the
training process of… More >
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