• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International conference on applications of natural language to information systems >Gated Neural Network for Sentence Compression Using Linguistic Knowledge
【24h】

Gated Neural Network for Sentence Compression Using Linguistic Knowledge

机译：门控神经网络的语言知识压缩

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Previous works have recognized that linguistic features such as part of speech and dependency labels are helpful for sentence compression that aims to simplify a text while leaving its underlying meaning. In this work, we introduce a gating mechanism and propose a gated neural network that selectively exploits linguistic knowledge for deletion-based sentence compression. Experimental results on two popular datasets show that the proposed gated neural network equipped with selectively fused linguistic features leads to better compressions upon both automatic metric and human evaluation, compared with a previous competitive compression system. We also investigate the gating mechanism through visualization analysis.
机译：先前的作品已经认识到语言特征（例如语音的一部分和依赖标签）对于句子压缩很有帮助，该句子压缩旨在简化文本，同时保留其基本含义。在这项工作中，我们介绍了一种门控机制，并提出了一种门控神经网络，该网络有选择地利用语言知识来进行基于删除的句子压缩。在两个流行的数据集上的实验结果表明，与以前的竞争性压缩系统相比，所提出的具有选择性融合语言功能的门控神经网络可在自动度量和人工评估方面带来更好的压缩。我们还通过可视化分析来研究门控机制。

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