Publications
2021
Prospects for Dutch emotion detection : insights from the new EmotioNL dataset (.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).
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).
Emotional RobBERT and insensitive BERTje : combining transformers and affect lexica for Dutch emotion detection (.pdf)
De Bruyne, L., De Clercq, O., & Hoste, V. (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).
Easy Language in Belgium
Vandeghinste, V., Müller, A., François, T., & De Clercq, O. (2021).
Metrics of syntactic equivalence to assess translation difficulty (.pdf)
Vanroy, B., De Clercq, O., Tezcan, A., Daems, J, & Macken, L. (2021).
2020
An emotional mess! Deciding on a framework for building a Dutch emotion-annotated corpus (.pdf)
De Bruyne, L., De Clercq, O., & Hoste, V. (2020).
It's absolutely divine! Can fine-grained sentiment analysis benefit from coreference resolution? (.pdf)
De Clercq, O., & Hoste, V. (2020).
News topic classification as a first step towards diverse news recommendation (.pdf)
De Clercq, O., De Bruyne, L., & Hoste, V. (2020).
An exploratory study into automated précis grading (.pdf)
De Clercq, O., & Van Hoecke, S. (2020).
News diversity and recommendation systems : setting the interdisciplinary scene (.pdf)
Joris, G., Colruyt, C., Vermeulen, J., Vercoutere, S., De Grove, F., Van Damme, K., De Clercq, O., Van Hee, C., De Marez, L., Hoste, V., Lievens, E., De Pessemier, T., & Martens, L. (2020).
2019
Reactions to Brexit in images : a multimodal content analysis of shared visual content on Flickr (.pdf)
Bouko, C., De wilde, J., Decock, S., & De Clercq, O. (2019).
EventDNA : guidelines for entities and events in dutch news texts (v1.0) (.pdf)
Colruyt, C., De Clercq, O., & Hoste, V. (2019).
Leveraging syntactic parsing to improve event annotation matching (.pdf)
Colruyt, C., De Clercq, O., & Hoste, V. (2019).
EventDNA : Guidelines for Entities and Events in Dutch News Texts (v1.0) (.pdf)
Colruyt, C., De Clercq, O., & Hoste, V. (2019).
Towards an empirically grounded framework for emotion analysis (.pdf)
De Bruyne, L., De Clercq, O., & Hoste, V. (2019).
Comparing MT approaches for text normalization (.pdf)
Matos Veliz, C., De Clercq, O., & Hoste, V. (2019).
Modelling word translation entropy and syntactic equivalence with machine learning (.pdf)
Vanroy, B., De Clercq, O., & Macken, L. (2019).
Correlating process and product data to get an insight into translation difficulty (.pdf)
Vanroy, B., De Clercq, O., & Macken, L. (2019).
2018
LT3 at SemEval-2018 Task 1 : a classifier chain to detect emotions in tweets (.pdf)
De Bruyne, L., De Clercq, O., & Hoste, V. (2018).
IEST: WASSA-2018 implicit emotions shared task (.pdf)
Klinger, R., De Clercq, O., Mohammad, S., & Balahur, A. (2018).
Predicting difficulty in translation : a pilot study (.pdf)
Vanroy, B., De Clercq, O., & Macken, L. (2018).
Using the Dutch Parallel Corpus to calculate English-Dutch word translation entropy (.pdf)
Vanroy, B., De Clercq, O., & Macken, L. (2018).
2017
Cartoons as interdiscourse : a quali-quantitative analysis of social representations based on collective imagination in cartoons produced after the Charlie Hebdo attack
Bouko, C., Calabrese, L., & De Clercq, O. (2017).
STYLENE : an environment for stylometry and readability research for Dutch (.pdf)
Daelemans, W., De Clercq, O., & Hoste, V. (2017).
Translationese and post-editese : how comparable is comparable quality? (.pdf)
Daems, J, De Clercq, O., & Macken, L. (2017).
Towards an integrated pipeline for aspect-based sentiment analysis in various domains (.pdf)
De Clercq, O., Lefever, E., Jacobs, G.M., Carpels, T., & Hoste, V. (2017).
Hello ABSA! Collaboration between LT3 and Hello Customer to develop an aspect-based sentiment analysis pipeline
De Clercq, O., Lefever, E., Jacobs, G.M., Carpels, T., & Hoste, V. (2017).
Towards a corpus-based, statistical approach of translation quality : measuring and visualizing linguistic deviance in student translations (.pdf)
De Sutter, G., Cappelle, B., De Clercq, O., Loock, R., & Plevoets, K. (2017).
Noise or music? Investigating the usefulness of normalisation for robust sentiment analysis on social media data (.pdf)
Van Hee, C., Van de Kauter, M., De Clercq, O., Lefever, E., Desmet, B., & Hoste, V. (2017).
2016
Rude waiter but mouthwatering pastries! An exploratory study into Dutch aspect-based sentiment analysis (.pdf)
De Clercq, O., & Hoste, V. (2016).
Computers en plagiaatdetectie
De Clercq, O. (2016).
All mixed up? Finding the optimal feature set for general readability prediction and its application to English and Dutch (.pdf)
De Clercq, O., & Hoste, V. (2016).
Rude waiter but mouthwatering pastries! An exploratory study into Dutch aspect-based sentiment analysis (.pdf)
De Clercq, O., & Hoste, V. (2016).
SemEval-2016 task 5 : aspect based sentiment analysis (.pdf)
Pontiki, M., Galanis, D., Papageorgiou, H., Androutsopoulos, I., Manandhar, S., AL-Smadi, M., Al-Ayyoub, M., Zhao, Y., Qin, B., De Clercq, O., Hoste, V., Apidianaki, M., Tannier, X., Loukachevitch, N., Kotelnikov, E., Bel, N., Jiménez-Zafra, S., & Eryiğit, G. (2016).
Multi-modular text normalization of Dutch user-generated content (.pdf)
Schulz, S., De Pauw, G., De Clercq, O., Desmet, B., Hoste, V., Daelemans, W., & Macken, L. (2016).