Papers by Antonio Longa
Putting Context in Context: the Impact of Discussion Structure on Text Classification (2024.eacl-long)
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| Challenge: | Current text classification approaches focus on the content to be classified, but contextual information is neglected in many cases. |
| Approach: | They propose to integrate contextual information into a transformer-based model by feeding it as natural language input into . they also experiment with different amounts of training data and analyse local discussion networks in a privacy-compliant way. |
| Outcome: | The proposed model can be generalized to other datasets and is privacy-compliant. |