Search Results for author:
Found 8 papers, 2 papers with code
Human-in-the-Loop Hate Speech Classification in a Multilingual Context
The shift of public debate to the digital sphere has been accompanied by a rise in online hate speech.
Assisted Text Annotation Using Active Learning to Achieve High Quality with Little Effort
Large amounts of annotated data have become more important than ever, especially since the rise of deep learning techniques.
Newsalyze: Effective Communication of Person-Targeting Biases in News Articles
Our study further suggests that our content-driven identification method detects groups of similarly slanted news articles due to substantial biases present in individual news articles.
How to Effectively Identify and Communicate Person-Targeting Media Bias in Daily News Consumption?
We present an in-progress system for news recommendation that is the first to automate the manual procedure of content analysis to reveal person-targeting biases in news articles reporting on policy issues.
XCoref: Cross-document Coreference Resolution in the Wild
Bridging and loose coreference relations trigger associations that may lead to exposing news readers to bias by word choice and labeling.
coreference-resolution
Cross Document Coreference Resolution
Concept Identification of Directly and Indirectly Related Mentions Referring to Groups of Persons
Specifically, the approach clusters mentions of groups of persons that act as non-named entity actors in the texts, e. g., "migrant families" = "asylum-seekers."
Towards Target-dependent Sentiment Classification in News Articles
Extensive research on target-dependent sentiment classification (TSC) has led to strong classification performances in domains where authors tend to explicitly express sentiment about specific entities or topics, such as in reviews or on social media.
NewsMTSC: A Dataset for (Multi-)Target-dependent Sentiment Classification in Political News Articles
Previous research on target-dependent sentiment classification (TSC) has mostly focused on reviews, social media, and other domains where authors tend to express sentiment explicitly.
