Search Results for author: Antske Fokkens

Found 39 papers, 8 papers with code

Challenging distributional models with a conceptual network of philosophical terms

1 code implementation NAACL 2021 Yvette Oortwijn, Jelke Bloem, Pia Sommerauer, Francois Meyer, Wei Zhou, Antske Fokkens

We investigate the possibilities and limitations of using distributional semantic models for analyzing philosophical data by means of a realistic use-case.

Philosophy

GRaSP: Grounded Representation and Source Perspective

1 code implementation RANLP 2017 Antske Fokkens, Piek Vossen, Marco Rospocher, Rinke Hoekstra, Willem Robert van Hage

When people or organizations provide information, they make choices regarding what information they include and how they present it.

Dealing with Abbreviations in the Slovenian Biographical Lexicon

1 code implementation4 Nov 2022 Angel Daza, Antske Fokkens, Tomaž Erjavec

We also propose and present the results of a method for expanding the identified abbreviations in context.

BiographyNet: Extracting Relations Between People and Events

no code implementations22 Jan 2018 Antske Fokkens, Serge ter Braake, Niels Ockeloen, Piek Vossen, Susan Legêne, Guus Schreiber, Victor de Boer

This paper describes BiographyNet, a digital humanities project (2012-2016) that brings together researchers from history, computational linguistics and computer science.

Management

Firearms and Tigers are Dangerous, Kitchen Knives and Zebras are Not: Testing whether Word Embeddings Can Tell

no code implementations WS 2018 Pia Sommerauer, Antske Fokkens

The idea behind this method is that properties identified by classifiers, but not through full vector comparison are captured by embeddings.

Word Embeddings

Storyteller: Visual Analytics of Perspectives on Rich Text Interpretations

no code implementations WS 2017 Maarten van Meersbergen, Piek Vossen, Janneke van der Zwaan, Antske Fokkens, Willem van Hage, Inger Leemans, Isa Maks

Complexity of event data in texts makes it difficult to assess its content, especially when considering larger collections in which different sources report on the same or similar situations.

Hope and Fear: How Opinions Influence Factuality

no code implementations LREC 2014 Chantal van Son, Marieke van Erp, Antske Fokkens, Piek Vossen

Both sentiment and event factuality are fundamental information levels for our understanding of events mentioned in news texts.

Opinion Mining Sentiment Analysis

CLIMB grammars: three projects using metagrammar engineering

no code implementations LREC 2012 Antske Fokkens, Tania Avgustinova, Yi Zhang

This paper introduces the CLIMB (Comparative Libraries of Implementations with Matrix Basis) methodology and grammars.

Code Generation

GRaSP: A Multilayered Annotation Scheme for Perspectives

no code implementations LREC 2016 Chantal van Son, Tommaso Caselli, Antske Fokkens, Isa Maks, Roser Morante, Lora Aroyo, Piek Vossen

In the last decade, different aspects of linguistic encoding of perspectives have been targeted as separated phenomena through different annotation initiatives.

Relation

Conceptual Change and Distributional Semantic Models: an Exploratory Study on Pitfalls and Possibilities

no code implementations WS 2019 Pia Sommerauer, Antske Fokkens

Studying conceptual change using embedding models has become increasingly popular in the Digital Humanities community while critical observations about them have received less attention.

Combining Conceptual and Referential Annotation to Study Variation in Framing

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.

Large-scale Cross-lingual Language Resources for Referencing and Framing

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.

Would you describe a leopard as yellow? Evaluating crowd-annotations with justified and informative disagreement

no code implementations COLING 2020 Pia Sommerauer, Antske Fokkens, Piek Vossen

We establish an additional, agreement-independent quality metric based on answer-coherence and evaluate it in comparison to existing metrics.

valid World Knowledge

Is Stance Detection Topic-Independent and Cross-topic Generalizable? -- A Reproduction Study

no code implementations14 Oct 2021 Myrthe Reuver, Suzan Verberne, Roser Morante, Antske Fokkens

Cross-topic stance detection is the task to automatically detect stances (pro, against, or neutral) on unseen topics.

Specificity Stance Detection

Hate Speech Criteria: A Modular Approach to Task-Specific Hate Speech Definitions

no code implementations NAACL (WOAH) 2022 Urja Khurana, Ivar Vermeulen, Eric Nalisnick, Marloes van Noorloos, Antske Fokkens

We argue that the goal and exact task developers have in mind should determine how the scope of \textit{hate speech} is defined.

Perturbations and Subpopulations for Testing Robustness in Token-Based Argument Unit Recognition

1 code implementation ArgMining (ACL) 2022 Jonathan Kamp, Lisa Beinborn, Antske Fokkens

Argument Unit Recognition and Classification aims at identifying argument units from text and classifying them as pro or against.

Sentence

Introducing Frege to Fillmore: A FrameNet Dataset that Captures both Sense and Reference

no code implementations LREC 2022 Levi Remijnse, Piek Vossen, Antske Fokkens, Sam Titarsolej

This article presents the first output of the Dutch FrameNet annotation tool, which facilitates both referential- and frame annotations of language-independent corpora.

Sentence

Better Hit the Nail on the Head than Beat around the Bush: Removing Protected Attributes with a Single Projection

no code implementations8 Dec 2022 Pantea Haghighatkhah, Antske Fokkens, Pia Sommerauer, Bettina Speckmann, Kevin Verbeek

Applying one targeted (MP) projection hence is methodologically cleaner than applying multiple (INLP) projections that introduce random effects.

Dynamic Top-k Estimation Consolidates Disagreement between Feature Attribution Methods

no code implementations9 Oct 2023 Jonathan Kamp, Lisa Beinborn, Antske Fokkens

Feature attribution scores are used for explaining the prediction of a text classifier to users by highlighting a k number of tokens.

Sentence

Cannot find the paper you are looking for? You can Submit a new open access paper.