41 citations · 53 across the 3 of their papers we have counts for
3 papers
cs.IR2017★ 2 cited
Factorization Machines Leveraging Lightweight Linked Open Data-enabled Features for Top-N Recommendations
Guangyuan Piao, John G. Breslin
With the popularity of Linked Open Data (LOD) and the associated rise in freely accessible knowledge that can be accessed via LOD, exploiting LOD for recommender systems has been w…
cs.CL2017★ 10 cited
Data Selection Strategies for Multi-Domain Sentiment Analysis
Sebastian Ruder, Parsa Ghaffari, John G. Breslin
Domain adaptation is important in sentiment analysis as sentiment-indicating words vary between domains. Recently, multi-domain adaptation has become more pervasive, but existing a…
cs.CL2017★ 41 cited
Knowledge Adaptation: Teaching to Adapt
Sebastian Ruder, Parsa Ghaffari, John G. Breslin
Domain adaptation is crucial in many real-world applications where the distribution of the training data differs from the distribution of the test data. Previous Deep Learning-base…