BERT Rankers are Brittle: A Study using Adversarial Document Perturbations. | 0 | 0.34 | 2022 |
Extracting per Query Valid Explanations for Blackbox Learning-to-Rank Models. | 3 | 0.42 | 2021 |
Towards Axiomatic Explanations for Neural Ranking Models. | 2 | 0.36 | 2021 |
Exploiting Sentence-Level Representations for Passage Ranking. | 0 | 0.34 | 2021 |
BERTnesia - Investigating the capture and forgetting of knowledge in BERT. | 0 | 0.34 | 2020 |
A Comprehensive Comparison of Unsupervised Network Representation Learning Methods. | 1 | 0.35 | 2019 |
Finding Interpretable Concept Spaces in Node Embeddings Using Knowledge Bases. | 0 | 0.34 | 2019 |
Interpreting search result rankings through intent modeling. | 0 | 0.34 | 2018 |
Posthoc Interpretability of Learning to Rank Models using Secondary Training Data. | 2 | 0.51 | 2018 |
L3S at the NTCIR-12 Temporal Information Access (Temporalia-2) Task. | 0 | 0.34 | 2016 |
The Sweet Spot between Inverted Indices and Metric-Space Indexing for Top-K-List Similarity Search. | 5 | 0.40 | 2015 |
Exploring Long Running News Stories using Wikipedia. | 0 | 0.34 | 2015 |
Phrase Query Optimization on Inverted Indexes | 1 | 0.35 | 2014 |
High-Performance Reachability Query Processing under Index Size Restrictions | 0 | 0.34 | 2012 |