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Piek T. J. M. Vossen

4 papers hereh-index 7127 citations28 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.AI1

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedA Hybrid Intelligence Method for Argument Mining

7 citations · 12 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2026

ROBE: Reversed-Order-Biased-Experts for Extracting Extreme Long-tail Events from Historical Texts

Stella Verkijk, Piek Vossen

This paper proposes methods to extract over 50 types of events from a Dutch historical corpus spanning the 17th and 18th centuries. The methods we propose aim to tackle a very chal…

cs.AI2024★ 7 cited

A Hybrid Intelligence Method for Argument Mining

Michiel van der Meer, Enrico Liscio, Catholijn M. Jonker +3

Large-scale survey tools enable the collection of citizen feedback in opinion corpora. Extracting the key arguments from a large and noisy set of opinions helps in understanding th…

cs.CL2024★ 1 cited

An Empirical Analysis of Diversity in Argument Summarization

Michiel van der Meer, Piek Vossen, Catholijn M. Jonker +1

Presenting high-level arguments is a crucial task for fostering participation in online societal discussions. Current argument summarization approaches miss an important facet of t…

cs.CL2023★ 4 cited

Do Differences in Values Influence Disagreements in Online Discussions?

Michiel van der Meer, Piek Vossen, Catholijn M. Jonker +1

Disagreements are common in online discussions. Disagreement may foster collaboration and improve the quality of a discussion under some conditions. Although there exist methods fo…

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