命名实体识别（NER）是一种自然语言处理技术，用于在给定的文本内容中提取适当的实体，并将提取的实体分类到预定义的类别下。简单来说，NER 是一种用于从给定文本中提取诸如人名、地名、公司名称等实体的技术。在信息检索方面，NER 有其自身的重要性。

The Global Data Annotation and Labelling Market is expected to reach USD 2,072.2 million in 2024 which is further projected to grow up to USD 29,584.2 million by the end of 2033, growing at a CAGR of ...

Annotating linguistic data has become a major field of interest, both for supplying the necessary data for machine learning approaches to NLP applications, and as a research issue in its own right.

During the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2021) this week, researchers and engineers from Bloomberg’s AI Group are ...

Dublin, July 04, 2025 (GLOBE NEWSWIRE) -- The "Data Annotation Tools - Global Strategic Business Report" has been added to ResearchAndMarkets.com's offering. The global market for Data Annotation ...

The goal of the Palmer and Martin Lab is richer and more accurate representations of utterances in English, Chinese, Hindi/Urdu, and Arabic. The principle approach involves the application of ...

GUEST OPINION: Are you planning on buying or building a data annotation tool for your AI project? Find out about your options and their corresponding use cases. Data annotation is the process of ...

Supervised machine learning is widely used in natural language processing and, based on the extensive OntoNotes sense tagged data, we have a state-of-the-art WSD system for English verbs that ...