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Implementation of a traditional classifier of argumentative components (claims and premises), trained with features/metadata previously extracted from manually annotated argumentative sentences from the citizen proposals available in the Decide Madrid platform.
This repository contains the code and data used for the evaluation paper "Limited Generalizability in Argument Mining: State-Of-The-Art Models Learn Datasets, Not Arguments"
A repository for structured argument annotation via crowdsourcing project (the annotated corpus + the code of the service used for annotation collection).