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Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information Sources.

, , and . ECML/PKDD (2), volume 10535 of Lecture Notes in Computer Science, page 109-125. Springer, (2017)

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Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information Sources., , and . CoRR, (2019)Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning., , , and . ACL (1), page 5716-5728. Association for Computational Linguistics, (2019)Content-Centered Collaboration Spaces in the Cloud., , , , , , , and . IEEE Internet Comput., 13 (5): 34-42 (2009)Efficient Methods for Natural Language Processing: A Survey., , , , , , , , , and 8 other author(s). CoRR, (2022)Aggregating and Learning from Multiple Annotators., and . EACL (Tutorial Abstracts), page 6-9. Association for Computational Linguistics, (2021)Bayesian Methods for Intelligent Task Assignment in Crowdsourcing Systems., and . Decision Making, volume 538 of Studies in Computational Intelligence, Springer, (2015)Clustering Tags in Enterprise and Web Folksonomies.. ICWSM, The AAAI Press, (2008)Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and Summarisation., , and . Trans. Assoc. Comput. Linguistics, (2020)Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information Sources., , and . ECML/PKDD (2), volume 10535 of Lecture Notes in Computer Science, page 109-125. Springer, (2017)Predicting the humorousness of tweets using gaussian process preference learning., , , and . Proces. del Leng. Natural, (2020)