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Publications

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).

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. (2020).

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. (2020).

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).

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).

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

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

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

Tezcan, A., Bulté, B., & 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).

It's absolutely divine! Can fine-grained sentiment analysis benefit from coreference resolution? (.pdf)

De Clercq, O., & Hoste, V. (2020).

An exploratory study into automated précis grading (.pdf)

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

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).

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).

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

Singh, P., Bauwelinck, N.B., & 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 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

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).

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

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

Neural fuzzy repair : integrating fuzzy matches into neural machine translation (.pdf)

Bulté, B., & Tezcan, A. (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).

Interactive adaptive SMT versus interactive adaptive NMT : a user experience evaluation (.pdf)

Daems, J, & Macken, L. (2019).

Van CAT tot TenT : van computerondersteund vertalen tot vertaalomgevingen

Daems, J, & Macken, L. (2019).

Towards an empirically grounded framework for emotion analysis (.pdf)

De Bruyne, L., De Clercq, O., & Hoste, V. (2019).

Comparison of automatic vs. manual language identification in multilingual social media texts (.pdf)

Frey, J., Stemle, E., & Doğruöz, A. (2019).

Vocabulary selection for didactic purposes : report on a machine learning approach (.pdf)

Goethals, P., Tezcan, A., & Degraeuwe, JRD (2019).

The trade-off between quantity and quality : comparing a large web corpus and a small focused corpus for medical terminology extraction (.pdf)

Hoste, V., Vanopstal, K., Rigouts Terryn, A., & Lefever, E. (2019).

A classification-based approach to cognate detection combining orthographic and semantic similarity information (.pdf)

Labat, S., & Lefever, E. (2019).

Annotation guidelines for labeling English-Dutch cognate pairs (version 1.0) (.pdf)

Labat, S., Vandevoorde, L., & Lefever, E. (2019).

Mysterie van de dag : waarom vindt een automatisch vertaalsysteem soms nieuwe woorden uit? (.pdf)

Macken, L. (2019).

NMT’s wonderland where people turn into rabbits : a study on the comprehensibility of newly invented words in NMT output (.pdf)

Macken, L., Van Brussel, LVB, & Daems, J (2019).

Comparing MT approaches for text normalization (.pdf)

Matos Veliz, C., De Clercq, O., & Hoste, V. (2019).

Comprehensive Integration of Linguistic Features in a Human Inspired Speech Recognition Architecture

Matos Veliz, C. (2019).

Validating multilingual hybrid automatic term extraction for search engine optimisation : the use case of EBM-GUIDELINES (.pdf)

Rigouts Terryn, A., Hoste, V., Buysschaert, J., Vander Stichele, R., Van Campen, E., & Lefever, E. (2019).

Analysing the impact of supervised machine learning on automatic term extraction : HAMLET vs TermoStat (.pdf)

Rigouts Terryn, A., Drouin, P., Hoste, V., & Lefever, E. (2019).