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Argumentative Proposition Classifier

Implementation of a traditional classifier of argumentative prepositions

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Argumentative Proposition Classifier

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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.

The complete solution consists of a pipeline of 6 modules, which are in charge of: data extraction from the source database (Decide Madrid), manual annotation of the data using the ARGAEL tool (also supports annotations from Prodigy), the subsequent feature extraction and the final construction and validation of the feature-based classification models.

Papers

This work (v1.4) has been accepted as a paper at the 10th Workshop on Argument Mining co-located with the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023). A draft of the paper can be found here.

Pipeline diagram

Pipeline diagram

Below are links to all datasets (both intermediate and final) created and used by the solution:

Dependencies

The implemented solutions depend on or make use of the following libraries:

Authors

Created on Aug 18, 2021
Created by:

License

This project is licensed under the terms of the Apache License 2.0.

Acknowledgements

This work was supported by the Spanish Ministry of Science and Innovation (PID2019-108965GB-I00).