Structured Rationalization via Tree kernel methods

Description:
There are several techniques for transforming text into abstract structured content (AMR graphs, Parse trees, etc…). We are interested in applying rationalization in these contexts by also enforcing some structural constraints depending on the given scenario of application. The constraints describe which type of allowed structured the rationalization system can extract. In the case of tree kernels, these structures are different types of trees.

Contact: Federico Ruggeri

References:

Tree-constrained Graph Neural Networks for Argument Mining
Federico Ruggeri, Marco Lippi, Paolo Torroni
September 2021
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