Researching in Shallow Parsing Based on Function Invariance of Maximum Likelihood Estimation

Abstract:

Abstract. Shallow parsing is a new strategy of language processing in the domain of natural language processing recently years. It is not focus on the obtaining of the full parsing tree but requiring of the recognition of some simple composition of some structure. It separated parsing into two subtasks: one is the recognition and analysis of chunks the other is the analysis of relationships among chunks. In this essay, some applied technology of shallow parsing is introduced and a new method of it is experimented.

• Periodical: Applied Mechanics and Materials (Volume 274)
• Pages: 359-362
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.274.359
• Online since: January 2013
• Authors: Shuang Zhang, Shi Xiong Zhang
• Keywords: Chunks, Function Invariance, Maximum Likelihood-Estimation (MLE), Shallow Parsing, Unsupervised Partial Parsing (UPP)

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