首页> 外文会议>Conference on Intelligent Text Processing and Computational Linguistics;CICLing 2014 >A Maximum Entropy Based Honorificity Identification for Bengali Pronominal Anaphora Resolution
【24h】

A Maximum Entropy Based Honorificity Identification for Bengali Pronominal Anaphora Resolution

机译:基于孟加拉分辨率的最大基于熵的卓越识别

获取原文

摘要

This paper presents a maximum entropy based method for determining honorific identities of personal nouns in Bengali. Later this information is used for pronoun (anaphora) resolution system for Bengali as honorificity plays an important role for pronominal anaphora resolution in Bengali. Experiment has done on a publicly available dataset. Experimental result shows that when the module for honorific identification is added to the existing pronoun resolution system, the accuracy (avg. F1-score) of the system is improved from 0.602 to 0.703 and this improvement is shown to be statistically significant.
机译:本文介绍了最大基于熵的方法,用于确定孟加拉语个人名词的荣誉身份。 稍后这些信息用于代词(Anaphora)解决孟加拉的决议系统,因为奉献性对孟加拉语在孟加拉语的分辨率分辨率起着重要作用。 实验已经在公开的数据集上完成。 实验结果表明,当用于尊重识别的模块被添加到现有的代词解析系统中时,系统的精度(AVG。F1分数)从0.602增加到0.703,并且该改进被显示为统计学意义。

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