Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise.
Nikhil KrishnaswamyScott FriedmanJames PustejovskyPublished in: AAAI (2019)
Keyphrases
- deep learning
- complex structures
- qualitative spatial reasoning
- unsupervised learning
- spatial reasoning
- machine learning
- artificial intelligence
- mental models
- xml documents
- weakly supervised
- databases
- formal theory
- training examples
- spatial relations
- maximum likelihood
- semi supervised
- active learning
- data model
- high dimensional
- computer vision
- data sets