1 citations · 1 across the 4 of their papers we have counts for
5 papers
Dissecting Paraphrases: The Impact of Prompt Syntax and supplementary Information on Knowledge Retrieval from Pretrained Language Models
Stephan Linzbach, Dimitar Dimitrov, Laura Kallmeyer +3
Pre-trained Language Models (PLMs) are known to contain various kinds of knowledge. One method to infer relational knowledge is through the use of cloze-style prompts, where a mode…
Large Language Models and Knowledge Graphs: Opportunities and Challenges
Jeff Z. Pan, Simon Razniewski, Jan-Christoph Kalo +13
Large Language Models (LLMs) have taken Knowledge Representation -- and the world -- by storm. This inflection point marks a shift from explicit knowledge representation to a renew…
The FAIRy Tale of Genetic Algorithms
Fahad Maqbool, Muhammad Saad Razzaq, Hajira Jabeen
Genetic Algorithm (GA) is a popular meta-heuristic evolutionary algorithm that uses stochastic operators to find optimal solution and has proved its effectiveness in solving many c…
A Scalable Framework for Quality Assessment of RDF Datasets
Gezim Sejdiu, Anisa Rula, Jens Lehmann +1
Over the last years, Linked Data has grown continuously. Today, we count more than 10,000 datasets being available online following Linked Data standards. These standards allow dat…
The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability
Mehdi Ali, Hajira Jabeen, Charles Tapley Hoyt +1
There is an emerging trend of embedding knowledge graphs (KGs) in continuous vector spaces in order to use those for machine learning tasks. Recently, many knowledge graph embeddin…