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Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data.

, , , , , and . WWW, page 2158-2168. ACM, (2019)

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APCNN: Tackling Class Imbalance in Relation Extraction through Aggregated Piecewise Convolutional Neural Networks., , and . SDS, page 63-68. IEEE, (2019)Crowdsourcing for Information Retrieval., , , and . ECIR (3), volume 13982 of Lecture Notes in Computer Science, page 357-361. Springer, (2023)WSDM Cup 2023 Challenge on Visual Question Answering., , , and . CSW@WSDM, volume 3357 of CEUR Workshop Proceedings, page 1-7. CEUR-WS.org, (2023)Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification - Extended Abstract., , , , , , , , , and 11 other author(s). ECIR (6), volume 14613 of Lecture Notes in Computer Science, page 3-10. Springer, (2024)Overview of the Multilingual Text Detoxification Task at PAN 2024., , , , , , , , , and 4 other author(s). CLEF (Working Notes), volume 3740 of CEUR Workshop Proceedings, page 2432-2461. CEUR-WS.org, (2024)Nessy: A Neuro-Symbolic System for Label Noise Reduction., , , and . IEEE Trans. Knowl. Data Eng., 35 (8): 8300-8311 (August 2023)Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data., , , , , and . WWW, page 2158-2168. ACM, (2019)