Walid Saba argues that “it is time to re-think our approach to natural language understanding, since the ‘big data’ approach to NLU is implausible and flawed”, and that the main problem is due to what he calls the “missing text phenomenon”. We recommended an earlier article of his where he discussed this in the context of ontologies and knowledge graphs, but this article is more focused on the key problem and his best explanation for a broad audience. Given the importance of both natural language processing and natural language understanding for machine learning applications, combined with issues surrounding the dependence on large language models, this is an important read. Afterwards see Saba’s response to objections to the article here.

Plus, approximately 40% subscribers are “zombies”. Note the report (which I have not read) mentioned is about and for news publishers, so mileage may vary.

Helps customers build and deploy custom Insight Apps with tailored search experiences faster and more easily.

The cloud-native CMS (content management system) offering is a new addition to the Sitecore Digital Experience Platform (DXP).

The data labeling solution for teams enables annotation of documents, images, and videos. The NLP Server grants access to pretrained NLP models.

ACM is a WordPress CMS plugin to create custom post types and fields for headless WordPress sites. ACM integrates seamlessly with WPGraphQL.

Enables researchers to find relevant content more quickly through contextualized discovery that is based on machine learning and smart data.