• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Workshop on computational linguistics for literature 2012 >A Dictionary of Wisdom and Wit: Learning to Extract Quotable Phrases
【24h】

A Dictionary of Wisdom and Wit: Learning to Extract Quotable Phrases

机译：智慧与智慧词典：学习提取可引用短语

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Readers suffering from information overload have often turned to collections of pithy and famous quotations. While research on large-scale analysis of text reuse has found effective methods for detecting widely disseminated and famous quotations, this paper explores the complementary problem of detecting, from internal evidence alone, which phrases are quotable. These quotable phrases are memorable and succinct statements that people are likely to find useful outside of their original context. We evaluate quotable phrase extraction using a large digital library and demonstrate that an integration of lexical and shallow syntactic features results in a reliable extraction process. A study using a reddit community of quote enthusiasts as well as a simple corpus analysis further demonstrate the practical applications of our work.
机译：遭受信息超载的读者经常转向收集虚假和著名的语录。尽管对文本重用进行大规模分析的研究找到了检测广泛传播和著名报价的有效方法，但本文探讨了仅从内部证据中检测可引用短语的补充问题。这些引人注目的短语是令人难忘且简洁的陈述，人们可能会在其原始语境之外发现有用的信息。我们评估使用大型数字图书馆的引用短语提取，并证明词汇和浅层句法特征的集成会导致可靠的提取过程。使用报价爱好者的reddit社区进行的研究以及简单的语料库分析进一步证明了我们工作的实际应用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号