Statutory reasoning is the task of determining whether a legal statute, stated in natural language, applies to the text description of a case.
Event schemas are structured knowledge sources defining typical real-world scenarios (e. g., going to an airport).
Legislation can be viewed as a body of prescriptive rules expressed in natural language.
Canonical correlation analysis (CCA) is a popular technique for learning representations that are maximally correlated across multiple views in data.
This shows it is possible to learn reliable representations across disparate, unaligned and noisy modalities, and encourages using the proposed approach on larger datasets.