Topics
Comprehensive interaction between all elements of query and document
In this kind of Neural IR, the model takes all query and document terms, and gives a score. This is more accurate than bi-encoders. The BERT model can be trained for such modelling, by feeding in query-document pairs. Such models are also called as cross-encoders.
- Advantages:
- Captures complex relationships between query and document
- Disadvantages:
- High computational cost
- Difficult to use in production