An approach to named entity extraction from historical documents in traditional mongolian script

机译：用传统蒙古文字从历史文献中提取命名实体的方法

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摘要

In this poster, we propose an information extraction method for digitized ancient Mongolian documents by utilizing an ancient-modern dictionary. Named entities such as historical figures and place names will be extracted by employing text mining techniques that aim to reduce the labor-intensive annotation on historical text. The Text Encoding Initiative (TEI) guidelines will be applied to digital text representations that encode the historical figures and place names along with their interpretations, and commentaries.

机译：在此海报中，我们提出了一种利用古代现代字典对古代蒙古文数字化文件进行信息提取的方法。将通过采用文本挖掘技术来提取诸如历史人物和地名之类的命名实体，该技术旨在减少对历史文本的劳动密集型注释。文本编码倡议（TEI）指南将应用于对历史人物和地名及其解释和注释进行编码的数字文本表示形式。

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来源
《2014 IEEE/ACM Joint Conference on Digital Libraries》|2014年|489-490|共2页
会议地点 London(GB)
作者
Batjargal B.; Khaltarkhuu G.; Kimura F.; Maeda A.;
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作者单位

Kinugasa Res. Organ., Ritsumeikan Univ., Kyoto, Japan;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
data mining; history; information retrieval; text analysis; TEI guidelines; Text Encoding Initiative; ancient-modern dictionary; digital text representations; digitized ancient Mongolian documents; historical documents; information extraction method; named entity extraction; text mining techniques; traditional Mongolian script; Dictionaries; Educational institutions; Libraries; Text analysis; Visualization; digital library; historical documents; named entity extraction; traditional Mongolian script;

机译：数据挖掘;历史;信息检索;文本分析; TEI准则;文本编码倡议;古今词典;数字文本表示;数字化的蒙古古文;历史文献;信息提取方法;命名实体提取;文本挖掘技术;传统蒙古文词典;教育机构;图书馆;文本分析;可视化;数字图书馆;历史文献;命名实体提取;蒙古传统文字;;

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专利

1. Developing a Digital Library of Historical Records in Traditional Mongolian Script [J] . Biligsaikhan Batjargal, Garmaabazar Khaltarkhuu, Fuminori Kimura, International journal of digital library systems . 2012,第1期

机译：用传统蒙古文字开发历史记录数字图书馆
2. Seed based named entity extraction applied to English resume document [J] . Mukta S. Takalikar, Manali M. Kshirsagar International Journal of Engineering & Technology . 2018,第4期

机译：基于种子的命名实体提取应用于英语简历文档
3. Terms over LOAD: Leveraging Named Entities forrnCross-Document Extraction and Summarization of Events [J] . Andreas Spitz, Michael Gertz ACM SIGIR FORUM . 2016,第JULa17a21CD期

机译：LOAD上的条款：利用命名实体进行跨文档提取和事件汇总
4. An approach to named entity extraction from historical documents in traditional mongolian script [C] . Batjargal B., Khaltarkhuu G., Kimura F., IEEE/ACM Joint Conference on Digital Libraries . 2014

机译：传统蒙古剧本中历史文献的命名实体提取方法
5. Leveraging knowledge of document structure and named entities for information extraction. [D] . Duncan, Frank Bissett. 2005

机译：利用文档结构和命名实体的知识进行信息提取。
6. Obtaining Knowledge in Pathology Reports Through a Natural Language Processing Approach With Classification Named-Entity Recognition and Relation-Extraction Heuristics [O] . Tomasz Oliwa, Steven B. Maron, Leah M. Chase, -1

机译：通过具有分类命名实体识别和关系提取启发式的自然语言处理方法获取病理报告中的知识
7. Extraction of Traditional Chinese Medicine Entity: Design of a Novel Span-Level Named Entity Recognition Method With Distant Supervision (Preprint) [O] . Qi Jia, Dezheng Zhang, Haifeng Xu, 2021

机译：中医药实体提取：遥远监督新跨度命名实体识别方法的设计（预印）

An approach to named entity extraction from historical documents in traditional mongolian script

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