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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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09/04/2023
CRUISE-Screening: Living Literature Reviews Toolbox
Keeping up with research and finding related work is still a time-consum...
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07/01/2023
Effective Matching of Patients to Clinical Trials using Entity Extraction and Neural Re-ranking
Clinical trials (CTs) often fail due to inadequate patient recruitment. ...
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06/30/2023
Outcome-based Evaluation of Systematic Review Automation
Current methods of evaluating search strategies and automated citation s...
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04/17/2023
Statute-enhanced lexical retrieval of court cases for COLIEE 2022
We discuss our experiments for COLIEE Task 1, a court case retrieval com...
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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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06/26/2022
Are We There Yet? A Decision Framework for Replacing Term Based Retrieval with Dense Retrieval Systems
Recently, several dense retrieval (DR) models have demonstrated competit...
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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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03/09/2022
Identifying the root cause of cable network problems with machine learning
Good quality network connectivity is ever more important. For hybrid fib...
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01/19/2022
Automation of Citation Screening for Systematic Literature Reviews using Neural Networks: A Replicability Study
In the process of Systematic Literature Review, citation screening is es...
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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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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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05/20/2021
Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking
An emerging recipe for achieving state-of-the-art effectiveness in neura...
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04/14/2021
Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling
A vital step towards the widespread adoption of neural retrieval models ...
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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
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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09/08/2020
The impact of COVID-19 on relative changes in aggregated mobility using mobile-phone data
Evaluating relative changes leads to additional insights which would rem...
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08/23/2020
Country-wide mobility changes observed using mobile phone data during COVID-19 pandemic
In March 2020, the Austrian government introduced a widespread lock-down...
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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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05/17/2020
DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts
The success of crowdsourcing based annotation of text corpora depends on...
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05/11/2020
Local Self-Attention over Long Text for Efficient Document Retrieval
Neural networks, particularly Transformer-based architectures, have achi...
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02/04/2020
Interpretable Time-Budget-Constrained Contextualization for Re-Ranking
Search engines operate under a strict time constraint as a fast response...
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01/15/2020
DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations
The effective extraction of ranked disease-symptom relationships is a cr...
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12/10/2019
Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking Results
In this paper we look beyond metrics-based evaluation of Information Ret...
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12/03/2019
TU Wien @ TREC Deep Learning '19 – Simple Contextualization for Re-ranking
The usage of neural network models puts multiple objectives in conflict ...
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07/30/2019
Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation
Separating and labeling each instance of a nucleus (instance-aware segme...
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07/10/2019
Let's measure run time! Extending the IR replicability infrastructure to include performance aspects
Establishing a docker-based replicability infrastructure offers the comm...
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12/13/2018
An Unbiased Approach to Quantification of Gender Inclination using Interpretable Word Representations
Recent advances in word embedding provide significant benefit to various...
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06/06/2018
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions
International challenges have become the standard for validation of biom...
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11/16/2017
Addressing Cross-Lingual Word Sense Disambiguation on Low-Density Languages: Application to Persian
We explore the use of unsupervised methods in Cross-Lingual Word Sense D...
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07/20/2017
Toward Incorporation of Relevant Documents in word2vec
Recent advances in neural word embedding provide significant benefit to ...
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06/20/2016