With the onset of digital publishing, researchers and publishers have had the opportunity not just to provide footnotes or a bibliography but to include links back to source material. By making that information more accessible, challenging or verifying research findings has become easier. But, linking alone is not enough as links can break and there is no uniform style or requirement which publishers must adhere to.
In recent years, the publishing industry has gone through a much-needed period of introspection with regard to how diversity and inclusivity are reflected, in both its workforce and output.
Recently we teamed up with Publishing Executive magazine to host an informative and enlightening webinar entitled “How Artificial Intelligence and Natural Language Processing Can Increase the Speed and Quality of Publishing”, which explored current use cases and future applications of AI and NLP.
For quite a few years, artificial intelligence seemed like just another buzzy term with vague implications on the publishing industry. But now, publishers are putting it into action. Through a range of applications, AI and natural language processing are being used by publishers to streamline workflows, produce higher-quality content, and improve the author experience.
You may have heard how artificial intelligence (AI) is being deployed within the information industry to combat fake news, detect plagiarism, and even recommend content to users. Until now however, AI has had minimal impact on the content creation and editorial functions of the publishing ecosystem.
