Search Results for author:
Found 5 papers, 1 papers with code
Supervised Neural Clustering via Latent Structured Output Learning: Application to Question Intents
Previous pre-neural work on structured prediction has produced very effective supervised clustering algorithms using linear classifiers, e. g., structured SVM or perceptron.
A Study of Latent Structured Prediction Approaches to Passage Reranking
The structured output framework provides a helpful tool for learning to rank problems.
Supervised Clustering of Questions into Intents for Dialog System Applications
Modern automated dialog systems require complex dialog managers able to deal with user intent triggered by high-level semantic questions.
Don't understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures
An interesting aspect of structured prediction is the evaluation of an output structure against the gold standard.
A Practical Perspective on Latent Structured Prediction for Coreference Resolution
Latent structured prediction theory proposes powerful methods such as Latent Structural SVM (LSSVM), which can potentially be very appealing for coreference resolution (CR).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
