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09/12/2023
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection
Search methods based on Pretrained Language Models (PLM) have demonstrat...
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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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08/14/2022
TripJudge: A Relevance Judgement Test Collection for TripClick Health Retrieval
Robust test collections are crucial for Information Retrieval research. ...
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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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09/24/2021
Description-based Label Attention Classifier for Explainable ICD-9 Classification
ICD-9 coding is a relevant clinical billing task, where unstructured tex...
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08/09/2021
DoSSIER@COLIEE 2021: Leveraging dense retrieval and summarization-based re-ranking for case law retrieval
In this paper, we present our approaches for the case law retrieval and ...
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06/10/2021
Linguistically Informed Masking for Representation Learning in the Patent Domain
Domain-specific contextualized language models have demonstrated substan...
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01/18/2021
Mitigating the Position Bias of Transformer Models in Passage Re-Ranking
Supervised machine learning models and their evaluation strongly depends...
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12/21/2020
Cross-domain Retrieval in the Legal and Patent Domains: a Reproducibility Study
Domain specific search has always been a challenging information retriev...
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10/06/2020