Heading-Aware Snippet Generation for Web Search
Heading-Aware Snippet Generation for Web Search
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DOI：
10.1007/978-3-319-28940-3_15
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发表时间：
2015-12
期刊：
影响因子：
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通讯作者：
Tomohiro Manabe;Keishi Tajima
中科院分区：
文献类型：
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作者：
Tomohiro Manabe;Keishi Tajima
我们提出了标题感知的方法生成搜索结果片段的网页。标题是对其相关句子主题的简要描述。当选择要包括在具有有限长度的片段中的句子时，一些现有方法优先考虑包含许多也出现在标题中的词的句子。不过，根据我们的观察，标题内的字往往会从相关的句子中略去，因为读者可以透过阅读标题来了解句子的主题。考虑到这样的遗漏得分的句子，我们的方法计数关键字出现在他们的标题，以及在句子本身。我们的评估结果表明，我们的方法是有效的，只有明确的意图或包含四个或更多的关键字的查询。为了讨论结果的统计学意义，需要进行另一次具有更多查询的评估。
We propose heading-aware methods of generating search result snippets of web pages. A heading is a brief description of the topic of its associated sentences. Some existing methods give priority to sentences containing many words that also appear in headings when selecting sentences to be included in snippets with limited length. However, according to our observation, words in heading are very often omitted from their associated sentences because readers can understand the topic of the sentences by reading their heading. To score sentences considering such omission, our methods count keyword occurrences in their headings as well as in the sentences themselves. Our evaluation result indicated that our methods were effective only for queries with clear intents or containing four or more keywords. To discuss the statistical significance of the result, another evaluation with more queries is needed.