Named entity recognition (NER)Information extractionCyber securityMachine learningDeep learning随着互联网技术飞速发展和大数据时代到来, 越来越多网络空间安全文本出现在互联网上. 这些文本不仅包括安全概念, 事件, 工具, 指南和政策, 还包括风险管理方法, 最佳实践, 保证和技术等. 整合大规模, 异构和非结构化的...
Named entity recognition(NER)是一个有挑战性的学习问题。一方面,大多数语言和领域,都仅仅只有少量的监督训练数据可用。另一方面,对于可以成为名字的单词几乎没有限制(reviewer:中文还是有一定规律或者习惯,不过依然没有限制),所以从这样的小型数据中学习泛化性强的模型有是困难的。 然而,构建高质量的数据集是很难得。
Textual information is becoming available in abundance on the web, arising the requirement of techniques and tools to extract the meaningful information. One of such an important information extraction task is Named Entity Recognition and Classification. It is the problem of finding the members of var...
Named Entity Recognition in Natural Language Processing: A Systematic Review The enormous growth and availability of data poses a great challenge for extracting useful information from documents written in natural language. The info... A Sharma,Amrita,S Chakraborty,... 被引量: 0发表: 2022年 ...
Nøklestad A (2009) A machine learning approach to anaphora resolution including named entity recognition, PP attachment disambiguation, and animacy detection Novák M (2011) Utilization of anaphora in machine translation. In: Proceedings of contributed papers, Week of Doctoral Students, pp 155–160...
Some of our software tools that are effective for analyzing literature include: Named Entity Recognition Opinion Mining Sentiment Analysis As long as your documents are text documents or text-enable PDF files, ATLAS.ti's automated tools can provide essential assistance in the data analysis process....
1.借助远程监督(DS)的方法获取无标签大语料的标记数据,这一步骤中也可以引入下游任务的先验知识,样本记为(X,Y*),具体的方法可以参考“BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision”。论文链接:https://arxiv.org/pdf/2006.15509.pdf ...
The next step is to create the NER labeling job. This post highlights the key steps. For more information, seeAdding a data labeling workflow for named entity recognition with Amazon SageMaker Ground Truth. On the Amazon SageMaker...
This strategy is best shown in Article [68], which carefully analyzes and categorizes cyber threats from unstructured sources, including news articles and social media, especially within healthcare systems, using NLP and Named Entity Recognition (NER) technologies. By using this approach, security ...
[203], are also being explored for natural language processing tasks in aviation safety, such as Named Entity Recognition (NER) and computerized language processing (CLP). These approaches are instrumental in analyzing text data related to aviation incidents and extracting relevant information for ...