Developing custom Named Entity Recognition (NER) models for specific use cases depend on the availability of high-quality annotated datasets, which can be expensive. As someone who has worked on several real-world use cases, I know the challenges all too well. This post describes a few real-world challenges, a solution which reduces human effort whilst maintaining high quality, and code snippets for the solution.

Coreference resolution refers to the task of identifying all the expressions in a text that refer to the same entity, such as pronouns, nouns, or noun phrases, and linking them to their referring entity. This post, inspired by a real world problem, describes a few challenges and explores a few approaches, along with code snippets.