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Found 4 papers, 1 papers with code
ALIST: Associative Logic for Inference, Storage and Transfer. A Lingua Franca for Inference on the Web
Although alternative techniques in neural information retrieval embed the content of knowledge graphs in vector spaces, they fail to provide the representation and query expressivity needed (e. g. inability to handle non-trivial aggregation functions such as regression).
Investigating the use of Paraphrase Generation for Question Reformulation in the FRANK QA system
Our two main conclusions are that cleaning of LC-QuAD 2. 0 is required as the errors present can affect evaluation; and that, due to limitations of FRANK's parser, paraphrase generation is not a method which we can rely on to improve the variety of natural language questions that FRANK can answer.
Deep Algorithmic Question Answering: Towards a Compositionally Hybrid AI for Algorithmic Reasoning
We propose an approach to algorithm reasoning for QA, Deep Algorithmic Question Answering (DAQA), based on three desirable properties: interpretability, generalizability, and robustness which such an AI system should possess, and conclude that they are best achieved with a combination of hybrid and compositional AI.
GPy-ABCD: A Configurable Automatic Bayesian Covariance Discovery Implementation
Gaussian Processes (GPs) are a very flexible class of nonparametric models frequently used in supervised learning tasks because of their ability to fit data with very few assumptions, namely just the type of correlation (kernel) the data is expected to display.
