activity
20132025
most citedAdapting Binary Information Retrieval Evaluation Metrics for Segment-based Retrieval Tasks

14 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2025

Self-supervised learning of speech representations with Dutch archival data

Nik Vaessen, Roeland Ordelman, David A. van Leeuwen

This paper explores the use of Dutch archival television broadcast data for self-supervised learning of speech foundation models, specifically wav2vec 2.0. We first study data qual…

cs.HC2022★ 4 cited

Designing Conversational Robots with Children during the Pandemic

Thomas Beelen, Ella Velner, Roeland Ordelman +3

Our research project (CHATTERS) is about designing a conversational robot for children's digital information search. We want to design a robot with a suitable conversation, that fo…

cs.IR2021★ 3 cited

Does your robot know? Enhancing children's information retrieval through spoken conversation with responsible robots

T. Beelen, E. Velner, R. Ordelman +3

In this paper, we identify challenges in children's current information retrieval process, and propose conversational robots as an opportunity to ease this process in a responsible…

cs.IR2013★ 14 cited

Adapting Binary Information Retrieval Evaluation Metrics for Segment-based Retrieval Tasks

Robin Aly, Maria Eskevich, Roeland Ordelman +1

This report describes metrics for the evaluation of the effectiveness of segment-based retrieval based on existing binary information retrieval metrics. This metrics are described…

cs.DL2013★ 2 cited

Talking With Scholars: Developing a Research Environment for Oral History Collections

Max Kemman, Stef Scagliola, Franciska de Jong +1

Scholars are yet to make optimal use of Oral History collections. For the uptake of digital research tools in the daily working practice of researchers, practices and conventions c…