旁遮普语命名实体识别模型综述

Pawandeep Kaur, Amandeep Kaur
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引用次数: 0

摘要

信息抽取是人工智能方法的子课题。使用自然语言处理技术对计算机进行命名实体标签的识别是非常重要的。这是识别非结构化内容的第一步。为了对任意数据的给定数量的任务进行分类和识别,可以将命名实体识别用作提取信息的子任务。有许多方法可以帮助应用NE流程。在本文中,提出了各种NER方法,并讨论了与旁遮普语相关的各种问题。
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Named entity recognition model for Punjabi language: A survey
Information extraction is the sub topic of Artificial Intelligence method. Recognition of named entity tags for computer using NLP (Natural language processing) is very important. It is very first step in recognition of unstructured content. For classification and identification of given number of tasks for any data, named entity recognition can be used as a subtask for extraction of information. There are numerous methods that help in applying NE process. In this paper various methods of NER have been presented and various issues related to Punjabi language has been discussed.
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