土耳其非正式文本的条件随机场命名实体识别

2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2011-04-20 DOI:10.1109/SIU.2011.5929737

Serap Ozkaya, B. Diri

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引用次数: 18

摘要

命名实体识别(NER)是自然语言处理的一个领域，对于正式和非正式文本来说，它可以是领域依赖或独立的，目的是提取有关名称实体的信息，如人、位置、组织、日期、公式和金钱。系统中可以实现基于规则的方法和机器学习方法。在本研究中，使用条件随机场从非正式文本中提取人名、地名和组织名称实体。

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Named Entity Recognition by Conditional Random Fields from Turkish informal texts

Named Entity Recognition (NER) being one of the areas of Natural Language processing can be domain dependent or independent for formal and informal texts aims to extract information about name entity such as person, location, organization, dates, formula and money. Rule Based methods and machine learning methods can be implemented in the system. In this study, Conditional Random Fields has been used to extract name entities which are person, location and organization names from informal texts.

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2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU)

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