| Automatic detection of cyberbullying in social media text C Van Hee, G Jacobs, C Emmery, B Desmet, E Lefever, B Verhoeven, ... PloS one 13 (10), e0203794, 2018 | 316 | 2018 |
| Economic event detection in company-specific news text G Jacobs, E Lefever, V Hoste 1st Workshop on Economics and Natural Language Processing (ECONLP) at …, 2018 | 47 | 2018 |
| Current limitations in cyberbullying detection: On evaluation criteria, reproducibility, and data scarcity C Emmery, B Verhoeven, G De Pauw, G Jacobs, C Van Hee, E Lefever, ... Language Resources and Evaluation 55, 597-633, 2021 | 40 | 2021 |
| Towards an integrated pipeline for aspect-based sentiment analysis in various domains O De Clercq, E Lefever, G Jacobs, T Carpels, V Hoste Proceedings of the 8th Workshop on Computational Approaches to Subjectivity …, 2017 | 28 | 2017 |
| SENTiVENT: enabling supervised information extraction of company-specific events in economic and financial news G Jacobs, V Hoste Language Resources and Evaluation 56 (1), 225-257, 2022 | 18 | 2022 |
| Improving text-to-pictograph translation through word sense disambiguation L Sevens, G Jacobs, V Vandeghinste, I Schuurman, F Van Eynde Proceedings of the Fifth Joint Conference on Lexical and Computational …, 2016 | 15 | 2016 |
| Mirativity and rhetorical structure C Gentens, D Kimps, K Davidse, G Jacobs, A Van Linden, L Brems Outside the Clause: Form and function of extra-clausal constituents 178, 125-156, 2016 | 14 | 2016 |
| Automatic classification of participant roles in cyberbullying: Can we detect victims, bullies, and bystanders in social media text? G Jacobs, C Van Hee, V Hoste Natural Language Engineering 28 (2), 141-166, 2022 | 11 | 2022 |
| Extracting fine-grained economic events from business news G Jacobs, V Hoste COLING 2020, 235-245, 2020 | 10 | 2020 |
| LT3 at SemEval-2019 task 5: Multilingual detection of hate speech against immigrants and women in Twitter (hatEval) N Bauwelinck, G Jacobs, V Hoste, E Lefever 13th International Workshop on Semantic Evaluation (SemEval-2019 …, 2019 | 7 | 2019 |
| Fine-grained implicit sentiment in financial news: Uncovering hidden bulls and bears G Jacobs, V Hoste Electronics 10 (20), 2554, 2021 | 4 | 2021 |
| SENTiVENT Event Annotation Guidelines v1. 1 G Jacobs Language and Translation Technology Team, 2019 | 3 | 2019 |
| Mental distress detection and triage in forum posts: the lt3 clpsych 2016 shared task system B Desmet, G Jacobs, V Hoste NAACL, 148-152, 2016 | 2 | 2016 |
| Fine-Grained Implicit Sentiment in Financial News: Uncovering Hidden Bulls and Bears. Electronics 2021, 10, 2554 G Jacobs, V Hoste s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | 1 | 2021 |
| Word sense disambiguation in text-to-pictograph translation G Jacobs, L Sevens, V Vandeghinste, I Schuurman, F Van Eynde CLIN26, 2015 | 1 | 2015 |
| Extracting fine-grained events and sentiment from economic news G Jacobs Ghent University, 2021 | | 2021 |
| Fine-grained implicit sentiment processing of polar economic events G Jacobs, V Hoste 31st Meeting of Computational Linguistics in The Netherlands (CLIN 31), 2021 | | 2021 |
| Event Annotation Guidelines v1. G Jacobs | | 2019 |
| Economic event detection in company-specific news G Jacobs, E Lefever, V Hoste ATILA 2018, 2018 | | 2018 |
| Hello ABSA! Collaboration between LT3 and Hello Customer to develop an aspect-based sentiment analysis pipeline O De Clercq, E Lefever, G Jacobs, T Carpels, V Hoste ATILA17, 2017 | | 2017 |
Veronique HosteProfessor of computational linguistics, Ghent UniversityVerified email at ugent.be
