200 citations · 515 across the 16 of their papers we have counts for
4 papers · 1 filter
Resource Selection for Federated Search on the Web
Dong Nguyen, Thomas Demeester, Dolf Trieschnigg +1
A publicly available dataset for federated search reflecting a real web environment has long been absent, making it difficult for researchers to test the validity of their federate…
Representation learning for very short texts using weighted word embedding aggregation
Cedric De Boom, Steven Van Canneyt, Thomas Demeester +1
Short text messages such as tweets are very noisy and sparse in their use of vocabulary. Traditional textual representations, such as tf-idf, have difficulty grasping the semantic…
Lifted Rule Injection for Relation Embeddings
Thomas Demeester, Tim Rocktäschel, Sebastian Riedel
Methods based on representation learning currently hold the state-of-the-art in many natural language processing and knowledge base inference tasks. Yet, a major challenge is how t…
Efficiency Evaluation of Character-level RNN Training Schedules
Cedric De Boom, Sam Leroux, Steven Bohez +3
We present four training and prediction schedules from the same character-level recurrent neural network. The efficiency of these schedules is tested in terms of model effectivenes…