Joint Learning Model
method
ID: jointlearningmodel
Related Papers
Joint Learning for Coreference Resolution with Markov Logic
Pairwise coreference resolution models must merge pairwise coreference decisions to gen- erate final outputs. Traditional merging meth- ods adopt different strategies such as the best- first method and enforcing the …...
Embedding Words and Senses Together via Joint Knowledge-Enhanced Training
AbstractWord embeddings are widely used in Natural Language Processing, mainly due to their success in capturing semantic information from massive corpora. However, their creation process does not allow the different …...
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets
AbstractBilinear models such as DistMult and ComplEx are effective methods for knowledge graph (KG) completion. However, they require large batch sizes, which becomes a performance bottleneck when training on large …...