- ORCID iD
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0000-0001-8846-3015
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- Journal Article
- A1
- open access
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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Extracting fine-grained events and sentiment from economic news
(2021) -
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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- Journal Article
- A1
- open access
Current limitations in cyberbullying detection : on evaluation criteria, reproducibility, and data scarcity
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- Conference Paper
- C1
- open access
Extracting fine-grained economic events from business news
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- Miscellaneous
- open access
SENTiVENT Event Annotation Guidelines v1.1
(2019) -
- Conference Paper
- C1
- open access
LT3 at SemEval-2019 Task 5 : multilingual detection of hate speech against immigrants and women in Twitter (hatEval)
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Economic event detection in company-specific news
(2018)