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Publications

2019

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

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

Comparing MT approaches for text normalization (.pdf)

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

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

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).

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

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

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).

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

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

2017

STYLENE : an environment for stylometry and readability research for Dutch (.pdf)

Daelemans, W., De Clercq, O., & 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).

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).

Online suicidality detection: can we help the helper?

Desmet, B., & Hoste, V. (2017).

An automatic part-of-speech tagger for Middle Low German (.pdf)

Koleva, M., Farasyn, M., Desmet, B., Breitbarth, A., & Hoste, V. (2017).

A neural network architecture for detecting grammatical errors in statistical machine translation (.pdf)

Tezcan, A., Hoste, V., & Macken, L. (2017).

SCATE taxonomy and corpus of machine translation errors (.pdf)

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

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).

Rude waiter but mouthwatering pastries! An exploratory study into Dutch aspect-based sentiment analysis (.pdf)

De Clercq, O., & Hoste, V. (2016).

Mental distress detection and triage in forum posts: the LT3 CLPsych 2016 shared task system (.pdf)

Desmet, B., Jacobs, G.M., & Hoste, V. (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).

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).

Detecting grammatical errors in machine translation output using dependency parsing and treebank querying (.pdf)

Tezcan, A., Hoste, V., & Macken, L. (2016).

UGENT-LT3 SCATE Submission for WMT16 Shared Task on Quality Estimation (.pdf)

Tezcan, A., Hoste, V., & Macken, L. (2016).

Guidelines for Annotating Irony in Social Media Text, version 2.0 (.pdf)

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

Exploring the realization of irony in Twitter data (.pdf)

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

2015

Applying hybrid terminology extraction to aspect-based sentiment analysis (.pdf)

De Clercq, O., Van de Kauter, M., Lefever, E., & Hoste, V. (2015).

The efficacy of terminology-extraction systems for the translation of documentaries (.pdf)

Hanoulle, S., Hoste, V., & Remael, A. (2015).

UGENT-LT3 SCATE system for machine translation quality estimation (.pdf)

Tezcan, A., Hoste, V., Desmet, B., & Macken, L. (2015).

LT3: sentiment analysis of figurative tweets: piece of cake #NotReally (.pdf)

Van Hee, C., Lefever, E., & Hoste, V. (2015).

Guidelines for the fine-grained analysis of cyberbullying, version 1.0

Van Hee, C., Verhoeven, B., Lefever, E., De Pauw, G., Daelemans, W., & Hoste, V. (2015).

Detection and fine-grained classification of cyberbullying events (.pdf)

Van Hee, C., Lefever, E., Verhoeven, B., Mennes, J., Desmet, B., De Pauw, G., Daelemans, W., & Hoste, V. (2015).

Automatic detection and prevention of cyberbullying (.pdf)

Van Hee, C., Lefever, E., Verhoeven, B., Mennes, J., Desmet, B., De Pauw, G., Daelemans, W., & Hoste, V. (2015).

The good, the bad and the implicit: a comprehensive approach to annotating explicit and implicit sentiment (.pdf)

Van de Kauter, M., Desmet, B., & Hoste, V. (2015).