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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
Fine-grained Affective Processing Capabilities Emerging from Large Language Models
Large language models, in particular generative pre-trained transformers...
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05/03/2023
Generating Synthetic Documents for Cross-Encoder Re-Rankers: A Comparative Study of ChatGPT and Human Experts
We investigate the usefulness of generative Large Language Models (LLMs)...
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04/17/2023
Political corpus creation through automatic speech recognition on EU debates
In this paper, we present a transcribed corpus of the LIBE committee of ...
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03/02/2023
Retrieval for Extremely Long Queries and Documents with RPRS: a Highly Efficient and Effective Transformer-based Re-Ranker
Retrieval with extremely long queries and documents is a well-known and ...
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01/23/2023
Injecting the BM25 Score as Text Improves BERT-Based Re-rankers
In this paper we propose a novel approach for combining first-stage lexi...
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10/11/2022
On the Interpolation of Contextualized Term-based Ranking with BM25 for Query-by-Example Retrieval
Term-based ranking with pre-trained transformer-based language models ha...
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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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07/07/2022
Academic information retrieval using citation clusters: In-depth evaluation based on systematic reviews
The field of scientometrics has shown the power of citation-based cluste...
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05/26/2022
LeiBi@COLIEE 2022: Aggregating Tuned Lexical Models with a Cluster-driven BERT-based Model for Case Law Retrieval
This paper summarizes our approaches submitted to the case law retrieval...
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04/05/2022
The COVMis-Stance dataset: Stance Detection on Twitter for COVID-19 Misinformation
During the COVID-19 pandemic, large amounts of COVID-19 misinformation a...
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02/01/2022
Improving BERT-based Query-by-Document Retrieval with Multi-Task Optimization
Query-by-document (QBD) retrieval is an Information Retrieval task in wh...
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01/19/2022
Expert Finding in Legal Community Question Answering
Expert finding has been well-studied in community question answering (QA...
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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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10/14/2021
Is Stance Detection Topic-Independent and Cross-topic Generalizable? – A Reproduction Study
Cross-topic stance detection is the task to automatically detect stances...
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09/27/2021
Small data problems in political research: a critical replication study
In an often-cited 2019 paper on the use of machine learning in political...
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09/23/2021
Breaking BERT: Understanding its Vulnerabilities for Biomedical Named Entity Recognition through Adversarial Attack
Biomedical named entity recognition (NER) is a key task in the extractio...
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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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06/14/2021
Can BERT Dig It? – Named Entity Recognition for Information Retrieval in the Archaeology Domain
The amount of archaeological literature is growing rapidly. Until recent...
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06/09/2021
Helping results assessment by adding explainable elements to the deep relevance matching model
In this paper we address the explainability of web search engines. We pr...
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03/16/2021
Two tales of science technology linkage: Patent in-text versus front-page references
There is recurrent debate about how useful science is for technological ...
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03/07/2021
Usability Evaluation for Online Professional Search in the Dutch Archaeology Domain
This paper presents AGNES, the first information retrieval system for ar...
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01/04/2021
Improving reference mining in patents with BERT
References in patents to scientific literature provide relevant informat...
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10/19/2020
Better Distractions: Transformer-based Distractor Generation and Multiple Choice Question Filtering
For the field of education, being able to generate semantically correct ...
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10/02/2019
The merits of Universal Language Model Fine-tuning for Small Datasets – a case with Dutch book reviews
We evaluated the effectiveness of using language models, that were pre-t...
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05/11/2019
Information search in a professional context - exploring a collection of professional search tasks
Search conducted in a work context is an everyday activity that has been...
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01/22/2019
The reach of commercially motivated junk news on Facebook
Commercially motivated junk news - i.e. money-driven, highly shareable c...
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12/11/2018
Proceedings of the 17th Dutch-Belgian Information Retrieval Workshop
This volume contains the papers presented at DIR 2018: 17th Dutch-Belgia...
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04/30/2018