Papers with Neural IR ModeLs

1 papers
ABNIRML: Analyzing the Behavior of Neural IR Models (2022.tacl-1)

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Challenge: Pretrained contextualized language models such as BERT and T5 have established a new state-of-the-art for ad-hoc ranking.
Approach: They propose a framework for Analyzing the Behavior of Neural IR ModeLs that includes new types of diagnostic probes that allow us to test several characteristics that are not addressed by previous techniques.
Outcome: The proposed framework tests writing styles, factuality, sensitivity to paraphrasing and word order, and can be used to identify unintended biases.

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