首页> 外文会议>Proceedings of the workshop on Student research >Word sense disambiguation for cross-language information retrieval
【24h】

Word sense disambiguation for cross-language information retrieval

机译:跨语言信息检索的词义消歧

获取原文
获取原文并翻译 | 示例

摘要

We have developed a word sense disambiguation algorithm, following Cheng and Wilensky (1997), to disambiguate among WordNet synsets. This algorithm is to be used in a cross-language information retrieval system, CINDOR, which indexes queries and documents in a language-neutral concept representation based on WordNet synsets. Our goal is to improve retrieval precision through word sense disambiguation. An evaluation against human disambiguation judgements suggests promise for our approach.
机译:根据Cheng和Wilensky(1997),我们已经开发了一种词义消歧算法,以消除WordNet同义词集之间的歧义。该算法将在跨语言信息检索系统CINDOR中使用,该系统可基于WordNet同义词集以语言无关的概念表示形式对查询和文档进行索引。我们的目标是通过消除词义歧义来提高检索精度。对人类歧义判断的评估表明我们的方法很有希望。

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