...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of experimental psychology. Learning, memory, and cognition >The Semantic Distance Task: Quantifying Semantic Distance With Semantic Network Path Length
【24h】

The Semantic Distance Task: Quantifying Semantic Distance With Semantic Network Path Length

机译：语义距离任务：量化语义网络路径长度的语义距离

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

Semantic distance is a determining factor in cognitive processes, such as semantic priming, operating upon semantic memory. The main computational approach to compute semantic distance is through latent semantic analysis (LSA). However, objections have been raised against this approach, mainly in its failure at predicting semantic priming. We propose a novel approach to computing semantic distance, based on network science methodology. Path length in a semantic network represents the amount of steps needed to traverse from 1 word in the network to the other. We examine whether path length can be used as a measure of semantic distance, by investigating how path length affect performance in a semantic relatedness judgment task and recall from memory. Our results show a differential effect on performance: Up to 4 steps separating between word-pairs, participants exhibit an increase in reaction time (RT) and decrease in the percentage of word-pairs judged as related. From 4 steps onward, participants exhibit a significant decrease in RT and the word-pairs are dominantly judged as unrelated. Furthermore, we show that as path length between word-pairs increases, success in free-and cued-recall decreases. Finally, we demonstrate how our measure outperforms computational methods measuring semantic distance (LSA and positive pointwise mutual information) in predicting participants RT and subjective judgments of semantic strength. Thus, we provide a computational alternative to computing semantic distance. Furthermore, this approach addresses key issues in cognitive theory, namely the breadth of the spreading activation process and the effect of semantic distance on memory retrieval.
机译：语义距离是认知过程中的确定因素，例如语义启动，在语义记忆时操作。计算语义距离的主要计算方法是通过潜在语义分析（LSA）。但是，反对这种方法提出了反对，主要是在预测语义灌注时失败。基于网络科学方法论，我们提出了一种对计算语义距离的新方法。语义网络中的路径长度表示从网络中的1个单词到另一个方式所需的步骤数量。通过调查如何将路径长度在语义相关性判断任务中的性能和从内存中召回召回的路径长度如何影响性能，检查路径长度是否可以用作语义距离的量度。我们的结果表明了对性能的差异影响：在字对对之间分离的最多4步，参与者在反应时间（RT）增加并判断为相关的词对的百分比下降。从4个步骤开始，参与者在RT的显着降低，单词对被占主导地判断为无关。此外，我们表明，随着字对对之间的路径长度增加，在自由和CUES-RECALL中的成功减少。最后，我们展示了我们的测量如何优于测量语义距离（LSA和正向互相信息）的计算方法，以预测参与者RT和语义强度的主观判断。因此，我们提供计算语义距离的计算替代方案。此外，这种方法解决了认知理论中的关键问题，即扩展激活过程的广度和语义距离对存储器检索的影响。

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