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        <title>Inno at SemEval-2020 Task 11: Leveraging Pure Transfomer for Multi-Class Propaganda Detection</title>
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        <namePart type="given">Dmitry</namePart>
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    <abstract>The paper presents the solution of team ”Inno” to a SEMEVAL 2020 task 11 ”Detection of propaganda techniques in news articles”. The goal of the second subtask is to classify textual segments that correspond to one of the 18 given propaganda techniques in news articles dataset. We tested a pure Transformer-based model with an optimized learning scheme on the ability to distinguish propaganda techniques between each other. Our model showed 0:6 and 0:58 overall F1 score on validation set and test set accordingly and non-zero F1 score on each class on both sets.</abstract>
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    <identifier type="doi">10.18653/v1/2020.semeval-1.193</identifier>
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%0 Conference Proceedings
%T Inno at SemEval-2020 Task 11: Leveraging Pure Transfomer for Multi-Class Propaganda Detection
%A Grigorev, Dmitry
%A Ivanov, Vladimir
%S Proceedings of the Fourteenth Workshop on Semantic Evaluation
%D 2020
%8 dec
%I International Committee for Computational Linguistics
%C Barcelona (online)
%F grigorev-ivanov-2020-inno
%X The paper presents the solution of team ”Inno” to a SEMEVAL 2020 task 11 ”Detection of propaganda techniques in news articles”. The goal of the second subtask is to classify textual segments that correspond to one of the 18 given propaganda techniques in news articles dataset. We tested a pure Transformer-based model with an optimized learning scheme on the ability to distinguish propaganda techniques between each other. Our model showed 0:6 and 0:58 overall F1 score on validation set and test set accordingly and non-zero F1 score on each class on both sets.
%R 10.18653/v1/2020.semeval-1.193
%U https://aclanthology.org/2020.semeval-1.193
%U https://doi.org/10.18653/v1/2020.semeval-1.193
%P 1481-1487

Markdown (Informal)

[Inno at SemEval-2020 Task 11: Leveraging Pure Transfomer for Multi-Class Propaganda Detection](https://aclanthology.org/2020.semeval-1.193) (Grigorev & Ivanov, SemEval 2020)

• Inno at SemEval-2020 Task 11: Leveraging Pure Transfomer for Multi-Class Propaganda Detection (Grigorev & Ivanov, SemEval 2020)

ACL

• Dmitry Grigorev and Vladimir Ivanov. 2020. Inno at SemEval-2020 Task 11: Leveraging Pure Transfomer for Multi-Class Propaganda Detection. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 1481–1487, Barcelona (online). International Committee for Computational Linguistics.