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Publications

In press

Man and Machine: Match made in heaven? (Status: “It’s complicated…”) – Exploring Dutch Automated Essay Scoring for young learners' written output

De Meyer, G., De Backer, F., De Clercq, O., & Montero Perez, M. (2022).

Writing Support for Adult Learners of Dutch in the Era of Generative AI (.pdf)

Kruijsbergen, J., & De Clercq, O. (2024).

2024

Zelf aan de slag (.pdf)

Daems, J, Macken, L., De Clercq, O., & Van Hee, C. (2024).

Using state-of-the-art emotion detection models in a crisis communication context (.pdf)

De Bruyne, L., van der Meer, T., De Clercq, O., & Hoste, V. (2024).

Benchmarking zero-shot text classification for Dutch (.pdf)

De Langhe, L., Maladry, A, Vanroy, B., De Bruyne, L., Singh, P., Lefever, E., & De Clercq, O. (2024).

Nudging towards exposure diversity : examining the effects of news recommender design on audiences’ news exposure behaviours and perceptions (.pdf)

Joris, G., Vercoutere, S., De Clercq, O., Van Damme, K., Mechant, P., & De Marez, L. (2024).

Exploring LLMs’ capabilities for error detection in Dutch L1 and L2 writing products (.pdf)

Kruijsbergen, J., Van Geertruyen, S, Hoste, V., & De Clercq, O. (2024).

Wat is taaltechnologie? (.pdf)

Van Hee, C., Hoste, V., De Clercq, O., Lefever, E., & Macken, L. (2024).

Sentiment- en emotieanalyse (.pdf)

Van Hee, C., Hoste, V., & De Clercq, O. (2024).

Hoe leert een computer taal? (.pdf)

Van Hee, C., Hoste, V., Macken, L., De Clercq, O., & Lefever, E. (2024).

Waarom is taal zo moeilijk? (.pdf)

Van Hee, C., Hoste, V., De Clercq, O., Lefever, E., & Macken, L. (2024).

2023

EventDNA : a dataset for Dutch news event extraction as a basis for news diversification (.pdf)

Colruyt, C., De Clercq, O., Desot, ThD, & Hoste, V. (2023).

Annotation guidelines for labeling aspect-based sentiment analysis en aspect-based emotion analysis in the SentEMO project : version 1.0 (.pdf)

De Geyndt, E., De Clercq, O., Van Hee, C., Lefever, E., & Hoste, V. (2023).

A benchmark for dutch end-to-end cross-document event coreference resolution (.pdf)

De Langhe, L., Desot, ThD, De Clercq, O., & Hoste, V. (2023).

Leveraging structural discourse information for event coreference resolution in Dutch (.pdf)

De Langhe, L., De Clercq, O., & Hoste, V. (2023).

Constructing a cross-document event coreference corpus for Dutch (.pdf)

De Langhe, L., De Clercq, O., & Hoste, V. (2023).

What Does BERT actually learn about event coreference? Probing structural information in a fine-tuned Dutch language model (.pdf)

De Langhe, L., De Clercq, O., & Hoste, V. (2023).

A corpus-based list of frequently used words in Sesotho (.pdf)

Sibeko, J., & De Clercq, O. (2023).

Misery loves complexity : exploring linguistic complexity in the context of emotion detection (.pdf)

Singh, P., De Bruyne, L., De Clercq, O., & Lefever, E. (2023).

Distilling monolingual models from large multilingual transformers (.pdf)

Singh, P., De Clercq, O., & Lefever, E. (2023).

Automating the identification of feedback quality criteria and the CanMEDS roles in written feedback comments using natural language processing (.pdf)

Van Ostaeyen, S., De Langhe, L., De Clercq, O., Embo, M., Schellens, T., & Valcke, M. (2023).

A qualitative textual analysis of feedback comments in eportfolios : quality and alignment with the CanMEDS roles (.pdf)

Van Ostaeyen, S., Embo, M., Rotsaert, T., De Clercq, O., Schellens, T., & Valcke, M. (2023).

MultiGED-2023 shared task at NLP4CALL : Multilingual Grammatical Error Detection (.pdf)

Volodina, E., Bryant, C., Caines, A., De Clercq, O., Frey, J., Ershova, E., Rosen, A., & Vinogradova, O. (2023).

2022

How language-dependent is emotion detection? Evidence from multilingual BERT (.pdf)

De Bruyne, L., Singh, P., De Clercq, O., Lefever, E., & Hoste, V. (2022).

Aspect-based emotion analysis and multimodal coreference : a case study of customer comments on Adidas instagram posts (.pdf)

De Bruyne, L., Karimi, A., De Clercq, O., Prati, A., & Hoste, V. (2022).

SentEMO : a multilingual adaptive platform for aspect-based sentiment and emotion analysis (.pdf)

De Geyndt, E., De Clercq, O., Van Hee, C., Lefever, E., Singh, P., Parent, O., & Hoste, V. (2022).

Investigating cross-document event coreference for Dutch (.pdf)

De Langhe, L., De Clercq, O., & Hoste, V. (2022).

Towards fine(r)-grained identification of event coreference resolution types (.pdf)

De Langhe, L., De Clercq, O., & Hoste, V. (2022).

Investigating the quality of static anchor embeddings from transformers for under-resourced languages (.pdf)

Singh, P., De Clercq, O., & Lefever, E. (2022).

UNRAVELLING LANGUAGE USE OF NARRATIVE COMMENTS IN EPORTFOLIOS: A TEXT ANALYSIS APPROACH (.pdf)

Van Ostaeyen, S., De Clercq, O., Embo, M., Schellens, T., & Valcke, M. (2022).

An in-depth analysis of written feedback found in ePortfolios of undergraduate midwifery students (.pdf)

Van Ostaeyen, S., De Clercq, O., Embo, M., Schellens, T., & Valcke, M. (2022).

Unravelling language use that determines the quality of narrative comments in ePortfolios: a text analysis approach (.pdf)

Van Ostaeyen, S., De Clercq, O., Embo, M., Schellens, T., & Valcke, M. (2022).

Measuring cross-lingual syntactic similarity (.pdf)

Vanroy, B., De Clercq, O., Tezcan, A., & Macken, L. (2022).

2021

Prospects for Dutch emotion detection : insights from the new EmotioNL dataset (.pdf)

De Bruyne, L., De Clercq, O., & Hoste, V. (2021).

Annotating affective dimensions in user-generated content : comparing the reliability of best-worst scaling, pairwise comparison and rating scales for annotating valence, arousal and dominance (.pdf)

De Bruyne, L., De Clercq, O., & Hoste, V. (2021).

Mixing and matching emotion frameworks : investigating cross-framework transfer learning for Dutch emotion detection (.pdf)

De Bruyne, L., De Clercq, O., & Hoste, V. (2021).

Emotional RobBERT and insensitive BERTje : combining transformers and affect lexica for Dutch emotion detection (.pdf)

De Bruyne, L., De Clercq, O., & Hoste, V. (2021).

Preface (.pdf)

De Clercq, O., Rigouts Terryn, A., Doğruöz, A.S., Tezcan, A., Vanroy, B., Labat, S., & Macken, L. (2021).

Uncovering Machine Translationese Using Corpus Analysis Techniques to Distinguish between Original and Machine-Translated French

De Clercq, O., De Sutter, G., Loock, R., Cappelle, B., & Plevoets, K. (2021).

Guidelines for Annotating Events and Event Coreference in Dutch News Articles (version 1.0) (.pdf)

De Langhe, L., De Clercq, O., & Hoste, V. (2021).

Event Prominence Extraction Combining a Knowledge-Based Syntactic Parser and a BERT Classifier for Dutch (.pdf)

Desot, ThD, De Clercq, O., & Hoste, V. (2021).

Is Neural Always Better? SMT versus NMT for Dutch Text Normalization

Matos Veliz, C., De Clercq, O., & Hoste, V. (2021).

WASSA 2021 shared task : predicting empathy and emotion in reaction to news stories (.pdf)

Tafreshi, S., De Clercq, O., Barriere, V., Sedoc, J., Buechel, S., & Balahur, A. (2021).

Guidelines for annotating implicit sentiment evoked by fine-grained news events (.pdf)

Van Hee, C., De Clercq, O., & Hoste, V. (2021).

Exploring implicit sentiment evoked by fine-grained news events (.pdf)

Van Hee, C., De Clercq, O., & Hoste, V. (2021).