Proceedings of the 2nd Crowd Science Workshop: Trust, Ethics, and Excellence in Crowdsourced Data Management at Scale co-located with 47th International Conference on Very Large Data Bases (VLDB 2021), Copenhagen, Denmark, August 20, 2021 - researchr publication

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Dmitry Ustalov, Fabio Casati, Alexey Drutsa, Ivan Stelmakh, Nikita Pavlichenko, Daria Baidakova, editors, Proceedings of the 2nd Crowd Science Workshop: Trust, Ethics, and Excellence in Crowdsourced Data Management at Scale co-located with 47th International Conference on Very Large Data Bases (VLDB 2021), Copenhagen, Denmark, August 20, 2021. Volume 2932 of CEUR Workshop Proceedings, CEUR-WS.org, 2021. [doi]

Conference: csw2021

Abstract is missing.

VLDB 2021 Crowd Science Challenge on Aggregating Crowdsourced Audio TranscriptionsDmitry Ustalov, Nikita Pavlichenko, Ivan Stelmakh, Dmitriy Kuznetsov. 1-7 [doi]

Fine-Tuning Pre-Trained Language Model for Crowdsourced Texts AggregationMikhail Orzhenovskii. 8-14 [doi]

Noisy Text Sequences Aggregation as a Summarization SubtaskSergey Pletenev. 15-20 [doi]

A Multi-Objective Clustering Ensemble Approach for Crowdsourced ClusteringSujoy Chatterjee. 21-34 [doi]

Crowdsourcing of Parallel Corpora: the Case of Style Transfer for DetoxificationDaryna Dementieva, Sergey Ustyantsev, David Dale, Olga Kozlova, Nikita Semenov, Alexander Panchenko, Varvara Logacheva. 35-49 [doi]

Training-Induced Class Imbalance in Crowdsourced DataShawn Ogunseye, Jeffrey Parsons, Doyinsola Afolabi. 50-59 [doi]

Aggregation of Crowdsourced Ontology-Based Item Descriptions by Hierarchical VotingAndrew Ponomarev. 60-71 [doi]

Finer Granularity Means Better Data: a Crowdsourcing Lab ExperimentRyan Murphy, Jeffrey Parsons. 72-86 [doi]

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