Papers by Nelleke Oostdijk
Discourse Realization of Generics in Human and LLM-generated Texts (2026.acl-long)
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| Challenge: | Large Language Models produce texts that appear coherent and credible, even when their factual reliability is uncertain. |
| Approach: | They propose a text-level genericity score derived from clause-level annotations and apply it to argumentative essays produced by humans and LLMs. |
| Outcome: | The proposed model is less generic than LLM-produced arguments, the study shows . higher genericity correlates with less structured, paratactic structures, the research shows a. |
The CLARIN Knowledge Centre for Atypical Communication Expertise (2020.lrec-1)
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| Challenge: | ACE is a new knowledge center for Atypical communication experts . it is located at the Centre for Language and Speech Technology (CLST) at Radboud University . |
| Approach: | They introduce a new CLARIN Knowledge Center called the K-Centre for Atypical Communication Expertise (ACE) ACE closely collaborates with The Language Archive at the Max Planck Institute for Psycholinguistics to safeguard GDPR-compliant data storage and access. |
| Outcome: | The new CLARIN Knowledge Center is the K-Centre for Atypical Communication Expertise (ACE) ACE closely collaborates with The Language Archive (TLA) at the Max Planck Institute for Psycholinguistics in order to safeguard GDPR-compliant data storage and access. |
The Causal News Corpus: Annotating Causal Relations in Event Sentences from News (2022.lrec-1)
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Fiona Anting Tan, Ali Hürriyetoğlu, Tommaso Caselli, Nelleke Oostdijk, Tadashi Nomoto, Hansi Hettiarachchi, Iqra Ameer, Onur Uca, Farhana Ferdousi Liza, Tiancheng Hu
| Challenge: | Existing annotation guidelines for event causality focus on only explicit relations or clauses. |
| Approach: | They propose an annotation schema for event causality that addresses these concerns . they annotated 3,559 event sentences from protest event news with labels on whether it contains causal relations or not. |
| Outcome: | The proposed annotation schema for event causality addresses these concerns . it performs well with 81.20% F1 score on test set and 83.46% in 5-folds cross-validation . |
Enhancing Discourse Parsing for Local Structures from Social Media with LLM-Generated Data (2025.coling-main)
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| Challenge: | Existing discourse parsers do not generalize well across genres and text types. |
| Approach: | They propose to integrate large language models into RST discourse parsers to improve parser performance in a social media context. |
| Outcome: | The proposed model improves parser performance in a social media context without pre-identified discourse units. |
The Connection between the Text and Images of News Articles: New Insights for Multimedia Analysis (2020.lrec-1)
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| Challenge: | a case study of text and images reveals the inadequacy of simplistic assumptions about their connection and interplay. |
| Approach: | They propose to use a case study to analyze 1000 flood-related news articles . they find that articles cluster into seven categories related to different topical aspects of flooding . |
| Outcome: | The results show that flood-related news articles do not consistently report on a single, currently unfolding flooding event. |
Metadata Collection Records for Language Resources (L18-1)
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| Challenge: | a pilot project aimed at bringing metadata records to the CLARIN context has been conducted . a virtual language observatory (VLO) was developed to provide an entry point to the language resources available in the infrastructure. |
| Approach: | They propose to implement a CMDI profile for Dutch language resources . they propose an interface for creating, editing, listing, copying and exporting metadata records . |
| Outcome: | The proposed interface is validated in a pilot with 45 Dutch language resources . the proposed interface provides a user interface for creating, editing, listing, copying and exporting descriptions of metadata collection records. |