首页> 外文期刊>The Journal of Artificial Intelligence Research >A Survey of Paraphrasing and Textual Entailment Methods
【24h】

A Survey of Paraphrasing and Textual Entailment Methods

机译:释义和文本蕴涵方法概述

获取原文
       

摘要

Paraphrasing methods recognize, generate, or extract phrases, sentences, or longer natural language expressions that convey almost the same information. Textual entailment methods, on the other hand, recognize, generate, or extract pairs of natural language expressions, such that a human who reads (and trusts) the first element of a pair would most likely infer that the other element is also true. Paraphrasing can be seen as bidirectional textual entailment and methods from the two areas are often similar. Both kinds of methods are useful, at least in principle, in a wide range of natural language processing applications, including question answering, summarization, text generation, and machine translation. We summarize key ideas from the two areas by considering in turn recognition, generation, and extraction methods, also pointing to prominent articles and resources.
机译:释义方法识别,生成或提取传达几乎相同信息的短语,句子或更长的自然语言表达。另一方面,文本包含方法可以识别,生成或提取成对的自然语言表达,这样,阅读(并信任)一对自然语言表达的人很可能会推断出另一个自然语言表达也是真实的。释义可以看作是双向文本蕴涵,并且这两个领域的方法通常相似。至少在原理上,这两种方法都适用于各种自然语言处理应用程序,包括问题解答,摘要,文本生成和机器翻译。我们通过依次考虑识别,生成和提取方法,总结了来自两个领域的关键思想,还指出了著名的文章和资源。

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