Challenges of NER

Monday, March 6th 2023

What are the challenges of Named Entity Recognition (NER)?

  1. Ambiguity: Many words and phrases can have multiple interpretations and could be considered as different entity types in different contexts.

  2. Variability: Entities can appear in different forms (e.g., singular vs. plural, different spellings, abbreviations), and some entities may have multiple names or aliases.

  3. Rare entities: Some entities may be rare or unseen in the training data, which makes it difficult for the model to learn to recognize them accurately.

  4. Entity boundaries: Determining the exact boundaries of an entity within a text can be challenging, especially when entities are mentioned in complex or ambiguous ways.