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Found 5 papers, 1 papers with code
Improving Query Graph Generation for Complex Question Answering over Knowledge Base
Most of the existing Knowledge-based Question Answering (KBQA) methods first learn to map the given question to a query graph, and then convert the graph to an executable query to find the answer.
A Complex KBQA System using Multiple Reasoning Paths
Multi-hop knowledge based question answering (KBQA) is a complex task for natural language understanding.
Adapting RNN Sequence Prediction Model to Multi-label Set Prediction
Previous such RNN models define probabilities for sequences but not for sets; attempts to obtain a set probability are after-thoughts of the network design, including pre-specifying the label order, or relating the sequence probability to the set probability in ad hoc ways.
Measuring Human-perceived Similarity in Heterogeneous Collections
We present a technique for estimating the similarity between objects such as movies or foods whose proper representation depends on human perception.
Regularizing Model Complexity and Label Structure for Multi-Label Text Classification
Multi-label text classifiers need to be carefully regularized to prevent the severe over-fitting in the high dimensional space, and also need to take into account label dependencies in order to make accurate predictions under uncertainty.
