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In press

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., Manchia, V., & Garcia, D. (2019).

Automatic classification of participant roles in cyberbullying : can we detect victims, bullies, and bystanders in social media text?

Jacobs, G.M., Van Hee, C., & Hoste, V. (2021).

Tagging terms in text : a supervised sequential labelling approach to automatic term extraction (.pdf)

Rigouts Terryn, A., Hoste, V., & Lefever, E. (2022).

2022

Evaluating the Impact of Integrating Similar Translations into Neural Machine Translation (.pdf)

Tezcan, A., & Bulté, B. (2022).

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).

Joint emotion label space modeling for affect lexica (.pdf)

De Bruyne, L., Atanasova, P., & Augenstein, I. (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).

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

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

A survey of code-switching : linguistic and social perspectives for language technologies (.pdf)

Doğruöz, A.S., Sitaram, S., Bullock, B., & Toribio, A. (2021).

How 'open' are the conversations with open-domain chatbots? A proposal for Speech Event based evaluation (.pdf)

Doğruöz, A.S., & Skantze, G. (2021).

Current limitations in cyberbullying detection : on evaluation criteria, reproducibility, and data scarcity (.pdf)

Emmery, C., Verhoeven, B., De Pauw, G., Jacobs, G.M., Van Hee, C., Lefever, E., Desmet, B., Hoste, V., & Daelemans, W. (2021).

Klassiekers door de vertaalmachine gehaald : Frankensteinmonsters of Treasure Islands? (.pdf)

Fonteyne, M., & Webster, R. (2021).

A million tweets are worth a few points: tuning transformers for customer service tasks (.pdf)

Hadifar, A., Labat, S., Hoste, V., Develder, C., & Demeester, T. (2021).

Open machine translation for low resource South American languages (AmericasNLP 2021 shared task contribution) (.pdf)

Parida, S., Panda, S., Dash, A., Villatoro-Tello, E., Doğruöz, A.S., Ortega-Mendoza, R., Hernández, A., Sharma, Y., & Motlicek, P. (2021).

HAMLET : Hybrid Adaptable Machine Learning approach to Extract Terminology (.pdf)

Rigouts Terryn, A., Hoste, V., & Lefever, E. (2021).

D-TERMINE : data-driven term extraction methodologies investigated (.pdf)

Rigouts Terryn, A. (2021).

LT3 at SemEval-2021 Task 6 : using multi-modal compact bilinear pooling to combine visual and textual understanding in memes (.pdf)

Singh, P., & Lefever, E. (2021).

A pilot study for BERT language modelling and morphological analysis for ancient and medieval Greek (.pdf)

Singh, P., Rutten, G., & Lefever, E. (2021).

Towards a better integration of fuzzy matches in neural machine translation through data augmentation (.pdf)

Tezcan, A., Bulté, B., & Vanroy, B. (2021).

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

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

Comparing the effect of product-based metrics on the translation process (.pdf)

Vanroy, B., Schaeffer, M., & Macken, L. (2021).

Syntactic difficulties in translation (.pdf)

Vanroy, B. (2021).

2020

Annotating topics, stance, argumentativeness and claims in Dutch social media comments : a pilot study (.pdf)

Bauwelinck, N.B., & Lefever, E. (2020).

Uncovering the language of wine experts (.pdf)

Croijmans, I., Hendrickx, I., Lefever, E., Majid, A., & van den Bosch, A. (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).

An exploratory study into automated précis grading (.pdf)

De Clercq, O., & Van Hoecke, S. (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).

Literary machine translation under the magnifying glass : assessing the quality of an NMT-translated detective novel on document level (.pdf)

Fonteyne, M., Tezcan, A., & Macken, L. (2020).

Extracting fine-grained economic events from business news (.pdf)

Jacobs, G.M., & Hoste, V. (2020).

Guidelines for annotating fine-grained emotion trajectories in customer service dialogues (version 1.0) (.pdf)

Labat, S., Demeester, T., & Hoste, V. (2020).

Identifying cognates in English-Dutch and French-Dutch by means of orthographic information and cross-lingual word embeddings (.pdf)

Lefever, E., Labat, S., & Singh, P. (2020).

Quantifying the effect of machine translation in a high-quality human translation production process (.pdf)

Macken, L., Prou, D., & Tezcan, A. (2020).

Annotated Corpora for Term Extraction Research (ACTER)

Rigouts Terryn, A., Hoste, V., & Lefever, E. (2020).

In no uncertain terms : a dataset for monolingual and multilingual automatic term extraction from comparable corpora (.pdf)

Rigouts Terryn, A., Hoste, V., & Lefever, E. (2020).

TermEval 2020 : shared task on automatic term extraction using the Annotated Corpora for term Extraction Research (ACTER) dataset (.pdf)

Rigouts Terryn, A., Hoste, V., Drouin, P., & Lefever, E. (2020).

Sentiment analysis for Hinglish code-mixed tweets by means of cross-lingual word embeddings (.pdf)

Singh, P., & Lefever, E. (2020).

LT3 at SemEval-2020 Task 8 : multi-modal multi-task learning for memotion analysis (.pdf)

Singh, P., Bauwelinck, N.B., & Lefever, E. (2020).

LT3 at SemEval-2020 Task 9 : cross-lingual embeddings for sentiment analysis of Hinglish social media text (.pdf)

Singh, P., & Lefever, E. (2020).

Measuring the readability of sustainability reports : a corpus-based analysis through standard formulae and NLP (.pdf)

Smeuninx, N., De Clerck, B., & Aerts, W. (2020).

Estimating word-level quality of statistical machine translation output using monolingual information alone (.pdf)

Tezcan, A., Hoste, V., & Macken, L. (2020).

LT3 at SemEval-2020 Task 7 : comparing feature-based and transformer-based approaches to detect funny headlines (.pdf)

Vanroy, B., Labat, S., Kaminska, OK, Lefever, E., & Hoste, V. (2020).

Gutenberg goes neural : comparing features of Dutch human translations with raw neural machine translation outputs in a corpus of English literary classics (.pdf)

Webster, R., Fonteyne, M., Tezcan, A., Macken, L., & Daems, J (2020).

2019

Measuring the impact of sentiment for hate speech detection on Twitter (.pdf)

Bauwelinck, N.B., & Lefever, E. (2019).

LT3 at SemEval-2019 Task 5 : multilingual detection of hate speech against immigrants and women in Twitter (hatEval) (.pdf)

Bauwelinck, N.B., Jacobs, G.M., Hoste, V., & Lefever, E. (2019).