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Publications

In press

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

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

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

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

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

Smeuninx, N., De Clerck, B., & Aerts, W. (2019).

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

Tezcan, A., Hoste, V., & Macken, L. (2019).

Correlating process and product data to get an insight into translation difficulty (.pdf)

Vanroy, B., De Clercq, O., & Macken, L. (2019).

2019

Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation (.pdf)

Bulté, B., & Tezcan, A. (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).

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

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

Estimating post-editing time using a gold-standard set of machine translation errors (.pdf)

Tezcan, A., Hoste, V., & Macken, L. (2019).

Improving the translation environment for professional translators (.pdf)

Vandeghinste, V., Vanallemeersch, T., Augustinus, L., Bulté, B., Van Eynde, F., Pelemans, J., Verwimp, L., Wambacq, P., Heyman, G., Moens, M., van der Lek-Ciudin, I., Steurs, F., Rigouts Terryn, A., Lefever, E., Tezcan, A., Macken, L., Hoste, V., Daems, J, Buysschaert, J., Coppers, S., Van den Bergh, J., & Luyten, K. (2019).

2018

SMHD : a large-scale resource for exploring online language usage for multiple mental health conditions (.pdf)

Cohan, A., Desmet, B., Yates, A., Soldaini, L., MacAvaney, S., & Goharian, N. (2018).

A translation robot for each translator? A comparative study of manual translation and post-editing of machine translations: process, quality and translator attitude (.pdf)

Daems, J (2018).

How do students cope with machine translation output of Multi-Word Units? An exploratory study (.pdf)

Daems, J, Carl, M., Vandepitte, S., Hartsuiker, R., & Macken, L. (2018).

Stylometric text analysis for Dutch-speaking adolescents with Autism Spectrum Disorder (.pdf)

De Bruyne, L., Verhoeven, B., & Daelemans, W. (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).

Online suicide prevention through optimised text classification (.pdf)

Desmet, B., & Hoste, V. (2018).

MIsA : multilingual "IsA" extraction from Corpora (.pdf)

Faralli, S., Lefever, E., & Paolo Ponzetto, S. (2018).

Economic event detection in company-specific news text (.pdf)

Jacobs, G.M., Lefever, E., & Hoste, V. (2018).

IEST: WASSA-2018 implicit emotions shared task (.pdf)

Klinger, R., De Clercq, O., Mohammad, S., & Balahur, A. (2018).

Discovering the language of wine reviews : a text mining account (.pdf)

Lefever, E., Hendrickx, I., Croijmans, I., Van den Bosch, A., & Majid, A. (2018).

RSDD-time : temporal annotation of self-reported mental health diagnoses (.pdf)

MacAvaney, S., Desmet, B., Cohan, A., Soldaini, L., Yates, A., Zirikly, A., & Goharian, N. (2018).

Dutch compound splitting for bilingual terminology extraction (.pdf)

Macken, L., & Tezcan, A. (2018).

A gold standard for multilingual automatic term extraction from comparable corpora : term structure and translation equivalents (.pdf)

Rigouts Terryn, A., Hoste, V., & Lefever, E. (2018).

Multilingual hybrid automatic term extraction : the use case of ebpracticenet (.pdf)

Rigouts Terryn, A., Hoste, V., Buysschaert, J., & Lefever, E. (2018).

Dear stakeholder : exploring the language of sustainability reporting : a closer look at readability, sentiment and perception (.pdf)

Smeuninx, N. (2018).

A fine-grained error analysis of NMT, PBMT and RBMT output for English-to-Dutch (.pdf)

Van Brussel, LVB, Tezcan, A., & Macken, L. (2018).

SemEval-2018 task 3 : irony detection in English tweets (.pdf)

Van Hee, C., Lefever, E., & Hoste, V. (2018).

Automatic detection of cyberbullying in social media text (.pdf)

Van Hee, C., Jacobs, G.M., Emmery, C., Desmet, B., Lefever, E., Verhoeven, B., De Pauw, G., Daelemans, W., & Hoste, V. (2018).

Exploring the fine-grained analysis and automatic detection of irony on Twitter (.pdf)

Van Hee, C., Lefever, E., & Hoste, V. (2018).

We usually don't like going to the dentist : using common sense to detect irony on Twitter (.pdf)

Van Hee, C., Lefever, E., & Hoste, V. (2018).

Smart Computer-Aided Translation Environment (SCATE): Highlights (.pdf)

Vandeghinste, V., Vanallemeersch, T., Bulté, B., Augustinus, L., Van Eynde, F., Pelemans, J., Verwimp, L., Wambacq, P., Heyman, G., Moens, M., van der Lek-Ciudin, I., Steurs, F., Rigouts Terryn, A., Lefever, E., Tezcan, A., Macken, L., Coppers, S., Brulmans, J., Van den Bergh, J., Luyten, K., & Coninx, K. (2018).

The SCATE prototype : a smart computer-aided translation environment (.pdf)

Vandeghinste, V., Coppers, S., Van den Bergh, J., Bulté, B., Rigouts Terryn, A., Lefever, E., van der Lek, I., Coninx, K., & Steurs, F. (2018).

Predicting difficulty in translation : a pilot study (.pdf)

Vanroy, B., De Clercq, O., & Macken, L. (2018).

2017

Improved treebank querying: a facelift for GrETEL (.pdf)

Augustinus, L., Vanroy, B., & Vandeghinste, V. (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).

Translation methods and experience : a comparative analysis of human translation and post-editing with students and professional translators (.pdf)

Daems, J, Vandepitte, S., Hartsuiker, R., & Macken, L. (2017).

Identifying the machine translation error types with the greatest impact on post-editing effort (.pdf)

Daems, J, Vandepitte, S., Hartsuiker, R., & Macken, L. (2017).

Translationese and post-editese : how comparable is comparable quality? (.pdf)

Daems, J, De Clercq, O., & Macken, L. (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 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).