9 citations · 19 across the 6 of their papers we have counts for
10 papers
Analyzing Race and Country of Citizenship Bias in Wikidata
Zaina Shaik, Filip Ilievski, Fred Morstatter
As an open and collaborative knowledge graph created by users and bots, it is possible that the knowledge in Wikidata is biased in regards to multiple factors such as gender, race,…
User-friendly Comparison of Similarity Algorithms on Wikidata
Filip Ilievski, Pedro Szekely, Gleb Satyukov +1
While the similarity between two concept words has been evaluated and studied for decades, much less attention has been devoted to algorithms that can compute the similarity of nod…
Do Language Models Perform Generalizable Commonsense Inference?
Peifeng Wang, Filip Ilievski, Muhao Chen +1
Inspired by evidence that pretrained language models (LMs) encode commonsense knowledge, recent work has applied LMs to automatically populate commonsense knowledge graphs (CKGs).…
Representing Numbers in NLP: a Survey and a Vision
Avijit Thawani, Jay Pujara, Pedro A. Szekely +1
NLP systems rarely give special consideration to numbers found in text. This starkly contrasts with the consensus in neuroscience that, in the brain, numbers are represented differ…
Dimensions of Commonsense Knowledge
Filip Ilievski, Alessandro Oltramari, Kaixin Ma +3
Commonsense knowledge is essential for many AI applications, including those in natural language processing, visual processing, and planning. Consequently, many sources that includ…
Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering
Kaixin Ma, Filip Ilievski, Jonathan Francis +3
Recent developments in pre-trained neural language modeling have led to leaps in accuracy on commonsense question-answering benchmarks. However, there is increasing concern that mo…