Team ACCEPT at SemEval-2023 Task 3: An Ensemble-based Approach to Multilingual Framing Detection

with SemEval 2023 Task 3 "Detecting the Genre, the Framing, and the Persuasion Techniques in Online News in a Multi-lingual Setup"

Here we present our comprehensive ensemble-framework which you can call with mainFrame.py [--help]. Please use Python 3.9 and run python -m pip install -r requirements.txt beforehand.

Cite us when you want to use our framework

@inproceedings{heinisch-etal-2023-ensemble,
    title={ACCEPT at SemEval-2023 Task 3: An Ensemble-based Approach to Multilingual Framing Detection},
    author={Heinisch, Philipp and Plenz, Moritz and Frank, Anette and Cimiano, Philipp},
    booktitle = {Proceedings of the 17th International Workshop on Semantic Evaluation},
    series = {SemEval 2023},
    year = {2023},
    address = {Toronto, Canada},
    month = {July},
}

Implement further methods

1. Instantiate
   1. a data-preprocessor: pipeline/preprocessing/FrameDatasetInterface.py
   2. an encoder: pipeline/encoder/EncoderInterface.py
   3. (if you need a fancy additional aggregator when text chunking is applied: pipeline/aggregator/AggregatorInterface.py)
2. add your new method in const.py
3. if you need additional libraries, update requirements.txt please!
4. enjoy - ensemble- combine :)