Statistical Sentence Condensation using Ambiguity Packing and Stochastic Disambiguation Methods for Lexical-Functional Grammar
Statistical Sentence Condensation using Ambiguity Packing and Stochastic Disambiguation Methods for Lexical-Functional Grammar
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使用歧义包装和随机消歧方法进行词汇功能语法的统计句子压缩
DOI：
10.3115/1073445.1073471
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
A. Zaenen
中科院分区：
文献类型：
--
作者：
S. Riezler;Tracy Holloway King;Dick Crouch;A. Zaenen
我们提出了词汇功能语法（LFG）的歧义包装和随机消歧技术在句子压缩领域的应用。我们的系统包含一个用于 LFG 的语言解析器/生成器、一个用于在打包解析森林上进行解析缩减的传输组件，以及一个用于随机输出选择的最大熵模型。此外，我们建议使用标准解析器评估方法来自动评估句子压缩系统的摘要质量。摘要质量的实验评估表明，基于解析的自动评估与生成字符串的手动评估之间存在密切相关性。所提出的系统的总体摘要质量是最先进的，由于使用基于约束的解析器/生成器，保证了系统输出的语法性。
We present an application of ambiguity packing and stochastic disambiguation techniques for Lexical-Functional Grammars (LFG) to the domain of sentence condensation. Our system incorporates a linguistic parser/generator for LFG, a transfer component for parse reduction operating on packed parse forests, and a maximum-entropy model for stochastic output selection. Furthermore, we propose the use of standard parser evaluation methods for automatically evaluating the summarization quality of sentence condensation systems. An experimental evaluation of summarization quality shows a close correlation between the automatic parse-based evaluation and a manual evaluation of generated strings. Overall summarization quality of the proposed system is state-of-the-art, with guaranteed grammaticality of the system output due to the use of a constraint-based parser/generator.