60 citations · 136 across the 4 of their papers we have counts for
3 papers · 1 filter
Towards Axiomatic Explanations for Neural Ranking Models
Michael Völske, Alexander Bondarenko, Maik Fröbe +4
Recently, neural networks have been successfully employed to improve upon state-of-the-art performance in ad-hoc retrieval tasks via machine-learned ranking functions. While neural…
A study on the Interpretability of Neural Retrieval Models using DeepSHAP
Zeon Trevor Fernando, Jaspreet Singh, Avishek 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 significan…
Interpreting search result rankings through intent modeling
Jaspreet Singh, Avishek Anand
Given the recent interest in arguably accurate yet non-interpretable neural models, even with textual features, for document ranking we try to answer questions relating to how to i…