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首页> 外文期刊>International journal of information retrieval research >Semantic Text Summarization Based on Syntactic Patterns
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Semantic Text Summarization Based on Syntactic Patterns

机译：基于句法模式的语义文本概括

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摘要

Text summarization is machine based generation of a shortened version of a text. The summary should be a non-redundant extract from the original text. Most researches of text summarization use sentence extraction instead of abstraction to produce a summary. Extraction is depending mainly on sentences that already contained in the original input, which makes it more accurate and more concise. When all input articles are surrounding a particular event, extracting similar sentences would result in producing a highly repetitive summary. In this paper, a novel model for text summarization is proposed based on removing the non-effective sentences in producing an extract from the text. The model utilizes semantic analysis by evaluating sentences similarity. This similarity is provided by evaluating individual words similarity as well as syntactic relationships between neighboring words. These relationships addressed throughout the model as syntactic patterns. Word senses and the correlating part of speech for the word within context are provided in the semantic processing of matched patterns. The introduction of syntactic patterns knowledge supports text reduction by mapping the matched patterns into summarized ones. In addition, syntactic patterns make use of sentence relatedness evaluation in defining which sentences to keep and which to drop. Experiments proved that the model presented throughout the paper is well performing in results evaluation of compression rate, accuracy, recall and other human criteria like correctness, novelty, fluency and usefulness.
机译：文本摘要是基于机器的文本缩短版本的生成。摘要应为原始文本的非冗余摘录。大多数文本摘要研究使用句子提取而不是抽象来产生摘要。提取主要取决于原始输入中已经包含的句子，这使其更准确，更简洁。当所有输入文章都围绕一个特定事件时，提取相似的句子将导致产生高度重复的摘要。本文提出了一种新颖的文本摘要模型，该模型基于在从文本中提取摘录时去除无效句子的基础上提出的。该模型通过评估句子相似度来利用语义分析。通过评估单个单词的相似性以及相邻单词之间的句法关系来提供这种相似性。这些关系在整个模型中都作为句法模式处理。在匹配模式的语义处理中提供了语境中单词的词义和语音的相关部分。语法模式知识的引入通过将匹配的模式映射为摘要模式来支持文本约简。另外，句法模式利用句子相关性评估来定义保留哪些句子和删除哪些句子。实验证明，贯穿本文介绍的模型在压缩率，准确性，召回率和其他人为标准（如正确性，新颖性，流利性和实用性）的结果评估中表现良好。

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