1 code implementation • GWC 2016 • Marten Postma, Emiel van Miltenburg, Roxane Segers, Anneleen Schoen, Piek Vossen
We describe Open Dutch WordNet, which has been derived from the Cornetto database, the Princeton WordNet and open source resources.
1 code implementation • IWCS (ACL) 2021 • Levi Remijnse, Marten Postma, Piek Vossen
In this paper, we measure variation in framing as a function of foregrounding and backgrounding in a co-referential corpus with a range of temporal distance.
no code implementations • LREC 2020 • Marten Postma, Levi Remijnse, Filip Ilievski, Antske Fokkens, Sam Titarsolej, Piek Vossen
The user can apply two types of annotations: 1) mappings from expressions to frames and frame elements, 2) reference relations from mentions to events and participants of the structured data.
no code implementations • LREC 2020 • Piek Vossen, Filip Ilievski, Marten Postma, Antske Fokkens, Gosse Minnema, Levi Remijnse
In this article, we lay out the basic ideas and principles of the project Framing Situations in the Dutch Language.
no code implementations • COLING 2018 • Minh Le, Marten Postma, Jacopo Urbani, Piek Vossen
LSTM-based language models have been shown effective in Word Sense Disambiguation (WSD).
no code implementations • SEMEVAL 2018 • Marten Postma, Filip Ilievski, Piek Vossen
This paper discusses SemEval-2018 Task 5: a referential quantification task of counting events and participants in local, long-tail news documents with high ambiguity.
no code implementations • 9 Dec 2017 • Minh Le, Marten Postma, Jacopo Urbani
Recently, Yuan et al. (2016) have shown the effectiveness of using Long Short-Term Memory (LSTM) for performing Word Sense Disambiguation (WSD).
1 code implementation • COLING 2016 • Marten Postma, Ruben Izquierdo Bevia, Piek Vossen
Current Word Sense Disambiguation systems show an extremely poor performance on low frequent senses, which is mainly caused by the difference in sense distributions between training and test data.
no code implementations • COLING 2016 • Filip Ilievski, Marten Postma, Piek Vossen
Semantic text processing faces the challenge of defining the relation between lexical expressions and the world to which they make reference within a period of time.
no code implementations • LREC 2016 • Marten Postma, Ruben Izquierdo, Eneko Agirre, German Rigau, Piek Vossen
Word Sense Disambiguation (WSD) systems tend to have a strong bias towards assigning the Most Frequent Sense (MFS), which results in high performance on the MFS but in a very low performance on the less frequent senses.