Improving efficient neural ranking models with cross-architecture knowledge distillation S Hofstätter, S Althammer, M Schröder, M Sertkan, A Hanbury arXiv preprint arXiv:2010.02666, 2020 | 219 | 2020 |
DoSSIER@ COLIEE 2021: leveraging dense retrieval and summarization-based re-ranking for case law retrieval S Althammer, A Askari, S Verberne, A Hanbury arXiv preprint arXiv:2108.03937, 2021 | 39 | 2021 |
Introducing neural bag of whole-words with colberter: Contextualized late interactions using enhanced reduction S Hofstätter, O Khattab, S Althammer, M Sertkan, A Hanbury Proceedings of the 31st ACM International Conference on Information …, 2022 | 35 | 2022 |
Description-based label attention classifier for explainable ICD-9 classification M Feucht, Z Wu, S Althammer, V Tresp arXiv preprint arXiv:2109.12026, 2021 | 23 | 2021 |
Cross-domain retrieval in the legal and patent domains: a reproducibility study S Althammer, S Hofstätter, A Hanbury Advances in Information Retrieval: 43rd European Conference on IR Research …, 2021 | 21 | 2021 |
Mitigating the position bias of transformer models in passage re-ranking S Hofstätter, A Lipani, S Althammer, M Zlabinger, A Hanbury Advances in Information Retrieval: 43rd European Conference on IR Research …, 2021 | 20 | 2021 |
PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval S Althammer, S Hofstätter, M Sertkan, S Verberne, A Hanbury Advances in Information Retrieval, 44rd European Conference on IR Research …, 2022 | 16 | 2022 |
Linguistically informed masking for representation learning in the patent domain S Althammer, M Buckley, S Hofstätter, A Hanbury arXiv preprint arXiv:2106.05768, 2021 | 14 | 2021 |
Establishing strong baselines for tripclick health retrieval S Hofstätter, S Althammer, M Sertkan, A Hanbury European Conference on Information Retrieval, 144-152, 2022 | 12 | 2022 |
TripJudge: A relevance judgement test collection for TripClick health retrieval S Althammer, S Hofstätter, S Verberne, A Hanbury Proceedings of the 31st ACM International Conference on Information …, 2022 | 11 | 2022 |
Improving efficient neural ranking models with cross-architecture knowledge distillation (2020) S Hofstätter, S Althammer, M Schröder, M Sertkan, A Hanbury URL https://arxiv. org/abs, 2010 | 7 | 2010 |
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection S Althammer, G Zuccon, S Hofstätter, S Verberne, A Hanbury Proceedings of the Annual International ACM SIGIR Conference on Research and …, 2023 | 5 | 2023 |
Ranger: a toolkit for effect-size based multi-task evaluation M Sertkan, S Althammer, S Hofstätter arXiv preprint arXiv:2305.15048, 2023 | 4 | 2023 |
Diversifying Sentiments in News Recommendation. M Sertkan, S Althammer, S Hofstätter, J Neidhardt Perspectives@ RecSys, 2022 | 4 | 2022 |
RUDI: Real-Time Learning to Update Dense Retrieval Indices. S Althammer DESIRES, 173-175, 2021 | 2 | 2021 |
Exploring Effect-Size-Based Meta-Analysis for Multi-Dataset Evaluation. M Sertkan, S Althammer, S Hofstätter, P Knees, J Neidhardt Perspectives@ RecSys, 2023 | 1 | 2023 |
A Time-Optimized Content Creation Workflow for Remote Teaching S Hofstätter, S Althammer, M Sertkan, A Hanbury Proceedings of the 53rd ACM Technical Symposium on Computer Science …, 2022 | 1 | 2022 |
PatentExplorer: Refining Patent Search with Domain-specific Topic Models M Buckley, S Althammer, A Qoku | 1 | 2021 |
Addressing Data Availability and Document-to-Document Retrieval for Domain-specific Neural Rankers S Althammer Technische Universität Wien, 2024 | | 2024 |
Continually Adaptive Neural Retrieval Across the Legal, Patent and Health Domain S Althammer European Conference on Information Retrieval, 445-454, 2022 | | 2022 |