1) Entity Mention Detection
实体指代识别
1.
Entity Mention Detection(EMD)is the task of identifying textual mentions of real-world entities in documents, extending the recognition of named entity task by considering mentions other than names(pronouns etc.
实体指代识别(Entity Mention Detection,EMD)是识别文本中对实体的指代(Mention)的任务,包括专名、普通名词、代词指代的识别。
2) entity recognition
实体识别
1.
By analyzing the mistakes of traditional methods,we proposed a new segmentation method called single character elimination and entity recognition.
在对分词错误进行分析的基础上,本文提出了一种单字消除和实体识别的查询切分方法。
2.
This paper presents an entity recognition method for unstructured documents on desktops by using the text clues and ontology metadata.
本文首先提出一种利用文本线索和本体元数据来识别无结构文档中实体的方法,然后手工建立一个文档集合,在该集合上验证新方法在特定领域内的实体识别效果。
3) entity identification
实体识别
1.
This paper proposes a method which can automatically achieve data extraction of page layout and entity identification process, based on transmitting query.
该文提出了一种基于探测查询的方法来自动完成页面的数据抽取及实体识别工作,该方法通过提交查询可以在提取数据的同时确定实体的各个属性,根据实体的各个属性进行实体识别。
2.
According to analyzing the traditional entity identification methods, a deep Web entity identification mechanism based on semantics and statistical analysis (SS-EIM) is presented in this paper, which includes text matching model, semantics analysis model and group statistics model.
分析了常见的实体识别方法,提出了一种基于语义及统计分析的实体识别机制(deep Web entity identification mechanism based on semantics and statistical analysis,简称SS-EIM),能够有效解决Deep Web数据集成中数据纠错、消重及整合等问题。
3.
Analyzed the problems existed in entity identification processing.
分析了实体识别过程中存在的问题,并在基于本体的语义信息集成中模式异构和上下文异构已经得到解决的基础上,提出一个基于两阶段特征向量处理的解决方案来提高分布环境下实体识别的效率。
4) named entity recognition
名实体识别
1.
This work adopts the maximum entropy model for named entity recognition and proposes two improvement strategies based on HowNet to enhance the generalization of maximum entropy model.
命名实体识别是自然语言处理领域的一项基础研究,它对于语言的深层处理有重要意义。
5) named entity recognition
实体名识别
1.
In this paper, we describe a system that applies maximum entropy (ME) models to the task of named entity recognition (NER).
本文主要介绍了一个利用最大熵进行实体名识别的系统以及所采用的模型和选取的特征。
6) Real time fingerprint identification
实时指纹识别
补充资料：多指并指综合征
多指并指综合征
为常染色体显性遗传伴有不同表现度。表现：桡侧多指，有时包括第1掌骨或骨，手和/或足的并指(趾)畸形，通常为轻度或中度。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条