A study on the Interpretability of Neural Retrieval Models using DeepSHAP

15 Jul 2019Zeon Trevor FernandoJaspreet SinghAvishek Anand

A recent trend in IR has been the usage of neural networks to learn retrieval models for text based adhoc search. While various approaches and architectures have yielded significantly better performance than traditional retrieval models such as BM25, it is still difficult to understand exactly why a document is relevant to a query... (read more)

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