Publications

In press

SCATE Taxonomy and Corpus of Machine Translation Errors

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

2018

LT3 at SemEval-2018 Task 1: A classifier chain to detect emotions in tweets

De Bruyne, L., De Clercq, O., & Hoste, V. (2018).

2017

STYLENE : an environment for stylometry and readability research for Dutch

Daelemans, W., De Clercq, O., & Hoste, V. (2017).

Towards an integrated pipeline for aspect-based sentiment analysis in various domains

De Clercq, O., Lefever, E., Jacobs, G., 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., Carpels, T., & Hoste, V. (2017).

An automatic part-of-speech tagger for Middle Low German

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

SCATE taxonomy and corpus of machine translation errors

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

Noise or music? Investigating the usefulness of normalisation for robust sentiment analysis on social media data

Van Hee, C., Van de Kauter, M., De Clercq, O., Lefever, E., & Hoste, V. (2017).

2016

SemEval-2016 task 5 : aspect based sentiment analysis

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

Schulz, S., De Pauw, G., De Clercq, O., Desmet, B., Hoste, V., Daelemans, W., & Macken, L. (2016).

Exploring the realization of irony in Twitter data

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

Guidelines for Annotating Irony in Social Media Text, version 2.0

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

2015

Applying hybrid terminology extraction to aspect-based sentiment analysis

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

UGENT-LT3 SCATE system for machine translation quality estimation

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

Automatic detection and prevention of cyberbullying

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

LT3: sentiment analysis of figurative tweets: piece of cake #NotReally

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

Detection and fine-grained classification of cyberbullying events

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

2014

Towards shared datasets for normalization research

De Clercq, O., Schulz, S., Desmet, B., & Hoste, V. (2014).

Hoe meetbaar is leesbaarheid?

De Clercq, O., & Hoste, V. (2014).

Exploiting frameNet for content-based book recommendation

De Clercq, O., Schuhmacher, M., Ponzetto, S.P., & Hoste, V. (2014).

Using the crowd for readability prediction

De Clercq, O., Hoste, V., Desmet, B., van Oosten, P., De Cock, M., & Macken, L. (2014).

Guidelines for Normalizing Dutch and English User Generated Content

De Clercq, O., Desmet, B., & Hoste, V. (2014).

Identifying disputed topics in the news

De Clercq, O., Hertling, S., Hoste, V., Ponzetto, S.P., & Paulheim, H. (2014).

Recognising suicidal messages in Dutch social media

Desmet, B., & Hoste, V. (2014).

Taaltechnologie 2.0: sentimentanalyse en normalisatie

Desmet, B., De Clercq, O., Van de Kauter, M., Schulz, S., Van Hee, C., & Hoste, V. (2014).

Fine-grained Dutch named entity recognition

Desmet, B., & Hoste, V. (2014).

Dutch parallel corpus en SoNaR

Macken, L., De Clercq, O., Desmet, B., & Hoste, V. (2014).