prof. dr. Veronique Hoste
- ORCID iD
- 0000-0002-0539-4630
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- Journal Article
- A1
- open access
EmoTwiCS : a corpus for modelling emotion trajectories in Dutch customer service dialogues on Twitter
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- Journal Article
- A1
- open access
The limitations of irony detection in Dutch social media
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The Influence of Personality Traits and Game Design Elements on Player Enjoyment: An Empirical Study on GWAPs for Linguistics
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The Influence of Personality Traits and Game Design Elements on Player Enjoyment: A Demo on GWAPs for Part-of-Speech Tagging
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- Conference Paper
- C1
- open access
Unimodalities count as perspectives in multimodal emotion annotation
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- Conference Paper
- C1
- open access
A fine line between irony and sincerity : identifying bias in transformer models for irony detection
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- Journal Article
- A1
- open access
A benchmark for dutch end-to-end cross-document event coreference resolution
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- Conference Paper
- C1
- open access
Leveraging structural discourse information for event coreference resolution in Dutch
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Diverse content selection for educational question generation
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- Miscellaneous
- open access
Annotation guidelines for labeling aspect-based sentiment analysis en aspect-based emotion analysis in the SentEMO project : version 1.0
(2023) In LT3 Technical Report -
- Journal Article
- A1
- open access
Fuzzy rough nearest neighbour methods for aspect-based sentiment analysis
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- Journal Article
- A1
- open access
Fuzzy rough nearest neighbour methods for detecting emotions, hate speech and irony
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- Journal Article
- A1
- open access
EventDNA : a dataset for Dutch news event extraction as a basis for news diversification
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- Journal Article
- A1
- open access
Constructing a cross-document event coreference corpus for Dutch
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- Conference Paper
- C1
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Investigating cross-document event coreference for Dutch
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- Journal Article
- A2
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Towards fine(r)-grained identification of event coreference resolution types
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- Conference Paper
- C1
- open access
How language-dependent is emotion detection? Evidence from multilingual BERT
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An emotional journey : detecting emotion trajectories in Dutch customer service dialogues
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- Journal Article
- A1
- open access
Using natural language processing to automatically classify written self-reported narratives by patients with migraine or cluster headache
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LT3 at SemEval-2022 task 6 : fuzzy-rough nearest neighbor classification for sarcasm detection
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- Conference Paper
- P1
- open access
Aspect-based emotion analysis and multimodal coreference : a case study of customer comments on Adidas instagram posts
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- Conference Paper
- C1
- open access
D-terminer : online demo for monolingual and bilingual automatic term extraction
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- Conference Paper
- C1
- open access
Variation in the expression and annotation of emotions : a Wizard of Oz pilot study
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- Conference Paper
- P1
- open access
Irony detection for Dutch : a venture into the implicit
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- Conference Paper
- P1
- open access
SentEMO : a multilingual adaptive platform for aspect-based sentiment and emotion analysis
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- Conference Paper
- C3
- open access
Text mining the 'talk of literature' surrounding the Ingeborg-Bachmann-Preis : a case study in domain adaptation for German-language aspect-based sentiment analysis
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- Journal Article
- A1
- open access
Tagging terms in text : a supervised sequential labelling approach to automatic term extraction
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- Journal Article
- A1
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SENTiVENT : enabling supervised information extraction of company-specific events in economic and financial news
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Automatic classification of participant roles in cyberbullying : can we detect victims, bullies, and bystanders in social media text?
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Fuzzy-rough nearest neighbour approaches for emotion detection in tweets
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- Journal Article
- A2
- open access
Prospects for Dutch emotion detection : insights from the new EmotioNL dataset
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- Journal Article
- A1
- open access
Mixing and matching emotion frameworks : investigating cross-framework transfer learning for Dutch emotion detection
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- Book Editor
- open access
Proceedings of the third workshop on economics and natural language processing (ECONLP 2021)
Udo Hahn, Veronique Hoste (UGent) and Amanda Stent(2021) -
- Conference Paper
- C1
- open access
Event prominence extraction combining a knowledge-based syntactic parser and a BERT classifier for Dutch
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- Conference Paper
- C1
- open access
Emotional RobBERT and insensitive BERTje : combining transformers and affect lexica for Dutch emotion detection
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Fine-grained implicit sentiment processing of polar economic events
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- Journal Article
- A1
- open access
Fine-grained implicit sentiment in financial news : uncovering hidden bulls and bears
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- Book
- open access
Chatbot : leerkrachtenhandleiding
(2021) -
- Journal Article
- A1
- open access
HAMLET : Hybrid Adaptable Machine Learning approach to Extract Terminology
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- Miscellaneous
- open access
Guidelines for annotating implicit sentiment evoked by fine-grained news events
(2021) -
- Conference Paper
- C1
- open access
Nearest neighbour approaches for emotion detection in tweets
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- Conference Paper
- P1
- open access
A million tweets are worth a few points : tuning transformers for customer service tasks
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- Conference Paper
- C1
- open access
Exploring implicit sentiment evoked by fine-grained news events
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Annotating affective dimensions in user-generated content : comparing the reliability of best-worst scaling, pairwise comparison and rating scales for annotating valence, arousal and dominance
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Is neural always better? SMT versus NMT for Dutch text normalization
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- Journal Article
- A1
- open access
Current limitations in cyberbullying detection : on evaluation criteria, reproducibility, and data scarcity
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- Conference Paper
- C3
- open access
Evaluation of literature by professional and layperson critics : a digital and literary sociological analysis of evaluative talk of literature through the prism of literary prizes (2007-2017)
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- Conference Paper
- C1
- open access
Extracting fine-grained economic events from business news
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- Miscellaneous
- open access
Guidelines for annotating fine-grained emotion trajectories in customer service dialogues (version 1.0)
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- Conference Paper
- C1
- open access
It's absolutely divine! Can fine-grained sentiment analysis benefit from coreference resolution?