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05/24/2023
Ranger: A Toolkit for Effect-Size Based Multi-Task Evaluation
In this paper, we introduce Ranger - a toolkit to facilitate the easy us...
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09/15/2022
The Role of Bias in News Recommendation in the Perception of the Covid-19 Pandemic
News recommender systems (NRs) have been shown to shape public discourse...
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03/24/2022
Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction
Recent progress in neural information retrieval has demonstrated large g...
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01/05/2022
PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval
Dense passage retrieval (DPR) models show great effectiveness gains in f...
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01/02/2022
Establishing Strong Baselines for TripClick Health Retrieval
We present strong Transformer-based re-ranking and dense retrieval basel...
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10/11/2021
A Time-Optimized Content Creation Workflow for Remote Teaching
We describe our workflow to create an engaging remote learning experienc...
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10/06/2020
Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation
The latency of neural ranking models at query time is largely dependent ...
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08/12/2020
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering
There are many existing retrieval and question answering datasets. Howev...
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06/09/2020
Eliciting Touristic Profiles: A User Study on Picture Collections
Eliciting the preferences and needs of tourists is challenging, since pe...
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05/17/2020