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 More >
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