Cyrillic Mongolian Named Entity Recognition with Rich Features

机译：具有丰富特征的西里尔语蒙古命名实体识别

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摘要

In this paper, we first create a Cyrillic Mongolian named entity manually annotated corpus. The annotation types contain person names, location names, organization names and other proper names. Then, we use Condition Random Field as classifier and design few categories features of Mongolian, including orthographic feature, morphological feature, gazetteer feature, syllable feature, word clusters feature etc. Experimental results show that all the proposed features improve the overall system performance and stem features improve the most among them. Finally, with a combination of all the features our model obtains the optimal performance.

机译：在本文中，我们首先创建一个以斯拉夫语为蒙古语的命名实体，并带有手动注释的语料库。注释类型包含人员名称，位置名称，组织名称和其他专有名称。然后，以条件随机场为分类器，设计了蒙古语的正字法，形态学特征，地名词典特征，音节特征，词类特征等几类特征。实验结果表明，所有提出的特征均改善了系统整体性能和词干。功能改进最多。最后，结合所有功能，我们的模型可获得最佳性能。

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来源
《Natural language understanding and intelligent applications》|2016年|497-505|共9页
会议地点 Kunming(CN)
作者
Weihua Wang; Feilong Bao; Guanglai Gao;
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作者单位

College of Computer Science, Inner Mongolia University, Hohhot 010021, China;

College of Computer Science, Inner Mongolia University, Hohhot 010021, China;

College of Computer Science, Inner Mongolia University, Hohhot 010021, China;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Cyrillic Mongolian; Named entity recognition; Morphological features; Conditional random field;

机译：西里尔文蒙古文；命名实体识别；形态特征条件随机场;

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1. A Biomedical Named Entity Recognition Using Machine Learning Classifiers and Rich Feature Set [J] . Ahmed Sultan Al-Hegami, Ameen Mohammed Farea Othman, Fuad Tarbosh Bagash International journal of computer science and network security . 2017,第1期

机译：使用机器学习分类器和丰富特征集的生物医学命名实体识别
2. Optimising chemical named entity recognition with pre-processing analytics, knowledge-rich features and heuristics [J] . Riza Batista-Navarro, Rafal Rak, Sophia Ananiadou Journal of Cheminformatics . 2015,第S1期

机译：通过预处理分析，知识丰富的功能和启发式方法优化化学命名实体的识别
3. Person-specific named entity recognition using SVM with rich feature sets [J] . Hui NIE 中国文献情报（英文刊） . 2012,第003期

机译：使用具有丰富功能集的SVM特定于人的命名实体识别
4. Cyrillic Mongolian Named Entity Recognition with Rich Features [C] . Weihua Wang, Feilong Bao, Guanglai Gao International conference on computer processing of oriental languages . 2016

机译：西里尔西克蒙古人命名实体识别与丰富的功能
5. Advancing Biomedical Named Entity Recognition with Multivariate Feature Selection and Semantically Motivated Features. [D] . Leaman, James Robert, Jr. 2013

机译：具有多元特征选择和语义动机特征的生物医学命名实体识别。
6. Optimising chemical named entity recognition with pre-processing analytics knowledge-rich features and heuristics [O] . Riza Batista-Navarro, Rafal Rak, Sophia Ananiadou 2015

机译：通过预处理分析知识丰富的功能和启发式方法优化化学命名实体的识别
7. Optimising chemical named entity recognition with pre-processing analytics, knowledge-rich features and heuristics [O] . Riza Batista-Navarro, Rafal Rak, Sophia Ananiadou 2015

机译：通过预处理分析，知识丰富的功能和启发式方法优化化学命名实体的识别

Cyrillic Mongolian Named Entity Recognition with Rich Features

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