This repository contains a simple but efficient implementation of an argument-based recommender system, which makes use of NLP techniques and a taxonomy and lexicon of connectors to extract argument graphs from the proposals and citizen debates available in the Decide Madrid e-participation platform.

Chatbot of the Decide Madrid 2019 system (with and without arguments).

ArgIR: Tool for annotation and retrieval of argumentative information from textual content. A case study in the Decide Madrid database. The search runs on Apache Lucene and the results (proposals and comments) are re-ranked according to the number of arguments they have.

Repository with the labels and annotations made on the Decide Madrid 2019 dataset, using different types of annotation tools.