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Found 8 papers, 1 papers with code
Extracting Fine-Grained Economic Events from Business News
Based on a recently developed fine-grained event extraction dataset for the economic domain, we present in a pilot study for supervised economic event extraction.
Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scarcity
The detection of online cyberbullying has seen an increase in societal importance, popularity in research, and available open data.
LT3 at SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter (hatEval)
This paper describes our contribution to the SemEval-2019 Task 5 on the detection of hate speech against immigrants and women in Twitter (hatEval).
Economic Event Detection in Company-Specific News Text
This paper presents a dataset and supervised classification approach for economic event detection in English news articles.
Automatic Detection of Cyberbullying in Social Media Text
While social media offer great communication opportunities, they also increase the vulnerability of young people to threatening situations online.
Towards an integrated pipeline for aspect-based sentiment analysis in various domains
This paper presents an integrated ABSA pipeline for Dutch that has been developed and tested on qualitative user feedback coming from three domains: retail, banking and human resources.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
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