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Automated identification of bias inducing words in news articles using linguistic and context-oriented features ...
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HateBERT: Retraining BERT for Abusive Language Detection in English ...
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Automated identification of bias inducing words in news articles using linguistic and context-oriented features
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In: Information Processing & Management ; 58 (2021), 3. - 102505. - Elsevier. - ISSN 0306-4573. - eISSN 1873-5371 (2021)
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Assessing the Quality of Web Content ...
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Abstract:
This paper describes our approach towards the ECML/PKDD Discovery Challenge 2010. The challenge consists of three tasks: (1) a Web genre and facet classification task for English hosts, (2) an English quality task, and (3) a multilingual quality task (German and French). In our approach, we create an ensemble of three classifiers to predict unseen Web hosts whereas each classifier is trained on a different feature set. Our final NDCG on the whole test set is 0:575 for Task 1, 0:852 for Task 2, and 0:81 (French) and 0:77 (German) for Task 3, which ranks second place in the ECML/PKDD Discovery Challenge 2010. ... : 4 pages, ECML/PKDD 2010 Discovery Challenge Workshop ...
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Keyword:
FOS Computer and information sciences; H.4; D.2.8; Information Retrieval cs.IR
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URL: https://arxiv.org/abs/1406.3188 https://dx.doi.org/10.48550/arxiv.1406.3188
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Facet Classification of Blogs: Know-Center at the TREC 2009 Blog Distillation Task
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In: DTIC (2009)
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