24 citations · 64 across the 10 of their papers we have counts for
4 papers · 1 filter
Small data problems in political research: a critical replication study
Hugo de Vos, Suzan Verberne
In an often-cited 2019 paper on the use of machine learning in political research, Anastasopoulos & Whitford (A&W) propose a text classification method for tweets related to organi…
Helping results assessment by adding explainable elements to the deep relevance matching model
Ioannis Chios, Suzan Verberne
In this paper we address the explainability of web search engines. We propose two explainable elements on the search engine result page: a visualization of query term weights and a…
Two tales of science technology linkage: Patent in-text versus front-page references
Jian Wang, Suzan Verberne
There is recurrent debate about how useful science is for technological development, but we know little about what kinds of science are more useful for technology. This paper fills…
Improving reference mining in patents with BERT
Ken Voskuil, Suzan Verberne
In this paper we address the challenge of extracting scientific references from patents. We approach the problem as a sequence labelling task and investigate the merits of BERT mod…