Targeting Chinese Nominal Compounds in Corpora
Weiruo Qu, Christoph Ringlstetter, Randy G. Goebel · 2008
For compounding languages, a great part of the topical semantics is conveyed via nominal compounds.Various applications of natural language processing can profit from explicit access to these compounds, provided by a lexicon.The best way to acquire such a resource is to harvest corpora that represent the domain in question.For Chinese, a significant difficulty arises because the text comes as a string of characters, segmented only by sentence boundaries.Extraction algorithms that solely rely on context variety do not perform precisely enough.We propose a pipeline of filters that starts from a candidate set established by accessor variety and then employs several methods to improve precision.