Ансабльдер

method ID: ensembles

Related Papers

Cross-Lingual Training of Neural Models for Document Ranking

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractWe tackle the challenge of cross-lingual training of neural document ranking models for mono-lingual retrieval, specifically leveraging relevance judgments in English to improve search in non-English languages. Our work successfully …...

32232

SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractWe present the results and the main findings of SemEval-2020 Task 11 on Detection of Propaganda Techniques in News Articles. The task featured two subtasks. Subtask SI is about Span …...

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NLP_UIOWA at Semeval-2021 Task 5: Transferring Toxic Sets to Tag Toxic Spans

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Publication: TIPSTER (2021)

DOI: nan

AbstractWe leverage a BLSTM with attention to identify toxic spans in texts. We explore different dimensions which affect the model’s performance. The first dimension explored is the toxic set the …...

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Estimating Confidence of Predictions of Individual Classifiers and TheirEnsembles for the Genre Classification Task

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AbstractGenre identification is a kind of non-topic text classification. The main difference between this task and topic classification is that genre, unlike topic, usually cannot be expressed just by some …...

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FTD at SemEval-2023 Task 3: News Genre and Propaganda Detection by Comparing Mono- and Multilingual Models with Fine-tuning on Additional Data

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractWe report our participation in the SemEval-2023 shared task on propaganda detection and describe our solutions with pre-trained models and their ensembles. For Subtask 1 (News Genre Categorisation), we report …...

24893