11 citations · 27 across the 4 of their papers we have counts for
Showing cs.IRShow all
3 papers · 1 filter
cs.IR2022★ 5 cited
Would You Ask it that Way? Measuring and Improving Question Naturalness for Knowledge Graph Question Answering
Trond Linjordet, Krisztian Balog
Knowledge graph question answering (KGQA) facilitates information access by leveraging structured data without requiring formal query language expertise from the user. Instead, use…
cs.IR2020★ 9 cited
Sanitizing Synthetic Training Data Generation for Question Answering over Knowledge Graphs
Trond Linjordet, Krisztian Balog
Synthetic data generation is important to training and evaluating neural models for question answering over knowledge graphs. The quality of the data and the partitioning of the da…
cs.IR2019★ 2 cited
Impact of Training Dataset Size on Neural Answer Selection Models
Trond Linjordet, Krisztian Balog
It is held as a truism that deep neural networks require large datasets to train effective models. However, large datasets, especially with high-quality labels, can be expensive to…