QMUL-SDS @ SardiStance: Leveraging Network Interactions to Boost Performance on Stance Detection using Knowledge Graphs
This paper presents our submission to the SardiStance 2020 shared task, describing the architecture used for Task A and Task B. While our submission for Task A did not exceed the baseline, retraining our model using all the training tweets, showed promising results leading to (f-avg 0.601) using bid...
Guardado en:
| Autores principales: | , |
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| Formato: | Chapter |
| Lenguaje: | Inglês |
| Publicado: |
Accademia University Press
2020
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| Acceso en línea: | https://doi.org/10.4000/books.aaccademia.7114 https://hdl.handle.net/20.500.13089/1dio https://books.openedition.org/aaccademia/7114 |
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