36 citations · 86 across the 22 of their papers we have counts for
10 papers · 1 filter
The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs
Angelie Kraft, Ricardo Usbeck
Knowledge graphs are increasingly used in a plethora of downstream tasks or in the augmentation of statistical models to improve factuality. However, social biases are engraved in…
The Ethical Risks of Analyzing Crisis Events on Social Media with Machine Learning
Angelie Kraft, Ricardo Usbeck
Social media platforms provide a continuous stream of real-time news regarding crisis events on a global scale. Several machine learning methods utilize the crowd-sourced data for…
Transformer with Tree-order Encoding for Neural Program Generation
Klaudia-Doris Thellmann, Bernhard Stadler, Ricardo Usbeck +1
While a considerable amount of semantic parsing approaches have employed RNN architectures for code generation tasks, there have been only few attempts to investigate the applicabi…
Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research?
Longquan Jiang, Ricardo Usbeck
Existing approaches on Question Answering over Knowledge Graphs (KGQA) have weak generalizability. That is often due to the standard i.i.d. assumption on the underlying dataset. Re…
DialoKG: Knowledge-Structure Aware Task-Oriented Dialogue Generation
Md Rashad Al Hasan Rony, Ricardo Usbeck, Jens Lehmann
Task-oriented dialogue generation is challenging since the underlying knowledge is often dynamic and effectively incorporating knowledge into the learning process is hard. It is pa…
Modern Baselines for SPARQL Semantic Parsing
Debayan Banerjee, Pranav Ajit Nair, Jivat Neet Kaur +2
In this work, we focus on the task of generating SPARQL queries from natural language questions, which can then be executed on Knowledge Graphs (KGs). We assume that gold entity an…