Noisy Hyperlink

Noisy hyperlinks, or inaccuracies in web links, pose a significant challenge to efficient information retrieval and various natural language processing tasks. Current research focuses on developing methods to identify and remove these noisy links, often leveraging semantic analysis and knowledge graphs like DBpedia to assess link relevance and accuracy, as well as utilizing hyperlink structures for improved pre-training of language models in information retrieval. These efforts aim to enhance the quality and efficiency of web-based information access and improve the performance of applications such as question answering systems and medical jargon extraction.