基于图的远程依赖语言模型

Faguo Zhou, Xingang Yu
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引用次数: 1

摘要

在自然语言处理及其相关领域中,经典的文本表示方法很少考虑文本中的词序和距离依赖在语义表示中的作用。本文讨论了统计语言模型的现状和存在的问题,特别是头部驱动的统计语言模型和头部驱动的短语结构语法(HPSG)。然后简单介绍了远程依赖语言模型的开发和实现方法。最后提出了基于图的远程依赖语言模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Graph-Based Language Model of Long-Distance Dependency
In the natural language processing and its related fields, the classic text representation methods seldom consider the role of the words order and long-distance dependency in the texts for the semantic representation. In this paper, we discussed current situation and problems of the statistical language models, especially for Head-driven statistical language model and Head-driven Phrase Structure Grammar (HPSG). And then the development and realization methods of the long-distance dependency language model simply introduced. At last graph-based long-distance dependency language model was proposed in the paper.
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