Measuring similarity of neural networks has become an issue of great
imp...
Wikipedia is one of the most successful collaborative projects in histor...
Adding interpretability to word embeddings represents an area of active
...
In recent years, several metrics have been developed for evaluating grou...
We present evidence for the existence and effectiveness of adversarial
a...
In this chapter, we provide an overview of recent advances in data-drive...
Recent work has shown that graph neural networks (GNNs) are vulnerable t...
This paper introduces Redescription Model Mining, a novel approach to
id...
Uncovering how inequality emerges from human interaction is imperative f...
Quantification represents the problem of predicting class distributions ...
Wikipedia, the largest encyclopedia ever created, is a global initiative...
Measures of algorithmic fairness often do not account for human percepti...
Wikipedia represents the largest and most popular source of encyclopedic...
Many important decisions in societies such as school admissions, hiring,...
We examine how the behavior of software developers changes in response t...
We systematically evaluate the (in-)stability of state-of-the-art node
e...
We train word-emoji embeddings on large scale messaging data obtained fr...
We study how the coronavirus disease 2019 (COVID-19) pandemic, alongside...
Bias in Word Embeddings has been a subject of recent interest, along wit...
This work quantifies the effects of signaling and performing gender on t...
We introduce POLAR - a framework that adds interpretability to pre-train...
Data ownership and data protection are increasingly important topics wit...
Micro-task crowdsourcing is an international phenomenon that has emerged...
The iLCM project pursues the development of an integrated research
envir...
As one of the richest sources of encyclopedic information on the Web,
Wi...
Although considerable research has concentrated on online campaigning, i...
Crowd employment is a new form of short term employment that has been ra...
Portrayals of history are never complete, and each description inherentl...
Wikipedia is one of the most popular sites on the Web, with millions of ...
Ontologies in the biomedical domain are numerous, highly specialized and...
This paper presents a system which creates and visualizes probabilistic
...
In this paper, we present the Polylingual Labeled Topic Model, a model w...
Biomedical taxonomies, thesauri and ontologies in the form of the
Intern...