1. Home
  2. People
  3. Els Lefever
  4. Publications

Publications

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).

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).

Annotated Corpora for Term Extraction Research (ACTER)

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).

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).

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).

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).

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).

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).

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

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

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

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

Pilot study on medical translations in lay language : post-editing by language specialists, domain specialists or both? (.pdf)

Rigouts Terryn, A., Macken, L., Lefever, E., Vander Stichele, R., Vanneste, K, & Buysschaert, J. (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).

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).

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).

Sentiment analysis of French political tweets : #MacronPrésident (.pdf)

Vanrysselberghe, A., & Lefever, E. (2019).

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).

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

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

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

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

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

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

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).

SCAP_TT : tagging and lemmatising Spanish tourism discourse, and beyond (.pdf)

Goethals, P., Lefever, E., & Macken, L. (2017).

In the eye of the beer-holder : lexical descriptors of aroma and taste sensations in beer reviews (.pdf)

Lefever, E., Allein, L, & Jacobs, G.M. (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).

A corpus-based study of semantic differences in translation : the case of inchoativity in Dutch (.pdf)

Vandevoorde, L., Lefever, E., Plevoets, K., & De Sutter, G. (2017).

2016

SemEval-2016 Task 13: Taxonomy Extraction Evaluation (TExEval-2) (.pdf)

Bordea, G., Lefever, E., & Buitelaar, P. (2016).

Very quaffable and great fun : applying NLP to wine reviews (.pdf)

Hendrickx, I., Lefever, E., Croijmans, I., Majid, A., & van den Bosch, A. (2016).

TripleSent: a triple store of events associated with their prototypical sentiment (.pdf)

Hoste, V., Lefever, E., van der Waart van Gulik, S., & Desmet, B. (2016).

A classification-based approach to economic event detection in Dutch news text (.pdf)

Lefever, E., & Hoste, V. (2016).

A hybrid approach to domain-independent taxonomy learning (.pdf)

Lefever, E. (2016).

Dutch hypernym detection : does decompounding help? (.pdf)

Rigouts Terryn, A., Macken, L., & Lefever, E. (2016).

Analysing emotions in social media coverage on Paris terror attacks : a pilot study (.pdf)

Van Hee, C., Verleye, C., & Lefever, E. (2016).

Monday mornings are my fave :) #not exploring the automatic recognition of irony in English tweets (.pdf)

Van Hee, C., Lefever, E., & Hoste, V. (2016).