192 citations · 845 across the 41 of their papers we have counts for
4 papers · 2 filters
Stacking With Auxiliary Features
Nazneen Fatema Rajani, Raymond J. Mooney
Ensembling methods are well known for improving prediction accuracy. However, they are limited in the sense that they cannot discriminate among component models effectively. In thi…
Supervised and Unsupervised Ensembling for Knowledge Base Population
Nazneen Fatema Rajani, Raymond J. Mooney
We present results on combining supervised and unsupervised methods to ensemble multiple systems for two popular Knowledge Base Population (KBP) tasks, Cold Start Slot Filling (CSS…
Using Sentence-Level LSTM Language Models for Script Inference
Karl Pichotta, Raymond J. Mooney
There is a small but growing body of research on statistical scripts, models of event sequences that allow probabilistic inference of implicit events from documents. These systems…
Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text
Subhashini Venugopalan, Lisa Anne Hendricks, Raymond Mooney +1
This paper investigates how linguistic knowledge mined from large text corpora can aid the generation of natural language descriptions of videos. Specifically, we integrate both a…