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Deep Parser for Free English Texts Based on Machine Learning with Limited Resources

机译:基于有限资源的机器学习的免费英语文本深度解析器

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The paper presents an attempt at the construction of a wide scale parser for English based on Inductive Learning and limited resources. The parser loosely preserves the shift-reduce scheme, enriched with powerful actions, and a compound Decision Tree instead of the decision table. The attempt originates directly from Hermjakob's ideas, but an important goal was to analyse possible extensions to a wide scale solution. Several supporting heuristics, as well as the overview of the development process and experiments, are described in the paper.
机译:本文提出了一种基于归纳学习和有限资源构建大型英语解析器的尝试。解析器松散地保留了shift-reduce方案,其中充实了强大的操作,并使用复合决策树代替了决策表。尝试直接源于Hermjakob的想法,但是一个重要的目标是分析可能扩展到大规模解决方案的方法。本文描述了几种支持启发式方法,以及开发过程和实验的概述。

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