most citedCreating and Querying Personalized Versions of Wikidata on a Laptop

6 citations · 18 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2022

Does Wikidata Support Analogical Reasoning?

Filip Ilievski, Jay Pujara, Kartik Shenoy

Analogical reasoning methods have been built over various resources, including commonsense knowledge bases, lexical resources, language models, or their combination. While the wide…

cs.CL20223 cited

An Empirical Investigation of Commonsense Self-Supervision with Knowledge Graphs

Jiarui Zhang, Filip Ilievski, Kaixin Ma +2

Self-supervision based on the information extracted from large knowledge graphs has been shown to improve the generalization of language models, in zero-shot evaluation on various…

cs.AI20223 cited

Augmenting Knowledge Graphs for Better Link Prediction

Jiang Wang, Filip Ilievski, Pedro Szekely +1

Embedding methods have demonstrated robust performance on the task of link prediction in knowledge graphs, by mostly encoding entity relationships. Recent methods propose to enhanc…

cs.CL20226 cited

Generalizable Neuro-symbolic Systems for Commonsense Question Answering

Alessandro Oltramari, Jonathan Francis, Filip Ilievski +2

This chapter illustrates how suitable neuro-symbolic models for language understanding can enable domain generalizability and robustness in downstream tasks. Different methods for…

cs.CL2021

Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models

Kaixin Ma, Filip Ilievski, Jonathan Francis +3

Commonsense reasoning benchmarks have been largely solved by fine-tuning language models. The downside is that fine-tuning may cause models to overfit to task-specific data and the…

cs.AI20216 cited

Creating and Querying Personalized Versions of Wikidata on a Laptop

Hans Chalupsky, Pedro Szekely, Filip Ilievski +2

Application developers today have three choices for exploiting the knowledge present in Wikidata: they can download the Wikidata dumps in JSON or RDF format, they can use the Wikid…