1 code implementation • ParlaCLARIN (LREC) 2022 • Ruben van Heusden, Maarten Marx, Jaap Kamps
In this paper, we investigate the task of linking entities from ParlaMint in different languages to a knowledge base, and evaluating the performance of three entity linking methods.
no code implementations • 27 Dec 2022 • Maarten Marx
This is strictly weaker than the proposal in Kirilov et al (2019).
no code implementations • LREC 2020 • Lennart Kerkvliet, Jaap Kamps, Maarten Marx
We show that it is straightforward to train a state of the art named entity tagger (spaCy) to recognize political actors in Dutch parliamentary proceedings with high accuracy.
1 code implementation • 12 Oct 2018 • Hosein Azarbonyad, Mostafa Dehghani, Tom Kenter, Maarten Marx, Jaap Kamps, Maarten de Rijke
For measuring topical diversity of text documents, our HiTR approach improves over the state-of-the-art measured on PubMed dataset.
1 code implementation • 15 Nov 2017 • Hosein Azarbonyad, Mostafa Dehghani, Kaspar Beelen, Alexandra Arkut, Maarten Marx, Jaap Kamps
We propose an approach for detecting semantic shifts between different viewpoints--broadly defined as a set of texts that share a specific metadata feature, which can be a time-period, but also a social entity such as a political party.
no code implementations • 2 Sep 2016 • Mostafa Dehghani, Hosein Azarbonyad, Jaap Kamps, Maarten Marx
Extracting separable models of hierarchical entities requires us to take their relative position into account and to consider the different types of dependencies in the hierarchy.
no code implementations • 6 Sep 2015 • Alex Olieman, Jaap Kamps, Maarten Marx, Arjan Nusselder
The current state-of-the-art Entity Linking (EL) systems are geared towards corpora that are as heterogeneous as the Web, and therefore perform sub-optimally on domain-specific corpora.