Search Results for author: Maarten Marx

Found 5 papers, 2 papers with code

Who mentions whom? Recognizing political actors in proceedings

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.

HiTR: Hierarchical Topic Model Re-estimation for Measuring Topical Diversity of Documents

1 code implementation12 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.

Topic Models

Words are Malleable: Computing Semantic Shifts in Political and Media Discourse

1 code implementation15 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.

On Horizontal and Vertical Separation in Hierarchical Text Classification

no code implementations2 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.

Classification General Classification +2

A Hybrid Approach to Domain-Specific Entity Linking

no code implementations6 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.

Entity Linking

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