Sophia Althammer

According to our database, Sophia Althammer authored at least 18 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection.

Sophia Althammer, Guido Zuccon, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Exploring Effect-Size-Based Meta-Analysis for Multi-Dataset Evaluation.

Mete Sertkan, Sophia Althammer, Sebastian Hofstätter, Peter Knees, Julia Neidhardt

Proceedings of the 3rd Workshop Perspectives on the Evaluation of Recommender Systems 2023 co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Ranger: A Toolkit for Effect-Size Based Multi-Task Evaluation.

Mete Sertkan, Sophia Althammer, Sebastian Hofstätter

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022

A Time-Optimized Content Creation Workflow for Remote Teaching.

Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Diversifying Sentiments in News Recommendation.

Mete Sertkan, Sophia Althammer, Sebastian Hofstätter, Julia Neidhardt

Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2022 co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

Establishing Strong Baselines For TripClick Health Retrieval.

Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury

Proceedings of the Advances in Information Retrieval, 2022

PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval.

Sophia Althammer, Sebastian Hofstätter, Mete Sertkan, Suzan Verberne, Allan Hanbury

Proceedings of the Advances in Information Retrieval, 2022

Continually Adaptive Neural Retrieval Across the Legal, Patent and Health Domain.

Sophia Althammer

Proceedings of the Advances in Information Retrieval, 2022

Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction.

Sebastian Hofstätter, Omar Khattab, Sophia Althammer, Mete Sertkan, Allan Hanbury

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

TripJudge: A Relevance Judgement Test Collection for TripClick Health Retrieval.

Sophia Althammer, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

DoSSIER@COLIEE 2021: Leveraging dense retrieval and summarization-based re-ranking for case law retrieval.

Sophia Althammer, Arian Askari, Suzan Verberne, Allan Hanbury

CoRR, 2021

Linguistically Informed Masking for Representation Learning in the Patent Domain.

Sophia Althammer, Mark Buckley, Sebastian Hofstätter, Allan Hanbury

CoRR, 2021

Mitigating the Position Bias of Transformer Models in Passage Re-ranking.

Sebastian Hofstätter, Aldo Lipani, Sophia Althammer, Markus Zlabinger, Allan Hanbury

Proceedings of the Advances in Information Retrieval, 2021

Cross-Domain Retrieval in the Legal and Patent Domains: A Reproducibility Study.

Sophia Althammer, Sebastian Hofstätter, Allan Hanbury

Proceedings of the Advances in Information Retrieval, 2021

RUDI: Real-Time Learning to Update Dense Retrieval Indices.

Sophia Althammer

Proceedings of the Second International Conference on Design of Experimental Search & Information REtrieval Systems, 2021

Description-based Label Attention Classifier for Explainable ICD-9 Classification.

Malte Feucht, Zhiliang Wu, Sophia Althammer, Volker Tresp

Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

2020

Cross-domain Retrieval in the Legal and Patent Domains: a Reproducability Study.

Sophia Althammer, Sebastian Hofstätter, Allan Hanbury

CoRR, 2020

Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation.

Sebastian Hofstätter, Sophia Althammer, Michael Schröder, Mete Sertkan, Allan Hanbury

CoRR, 2020