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ORCIDCSW@VLDB 2021: Copenhagen, Denmark
- Dmitry Ustalov, Fabio Casati, Alexey Drutsa, Ivan Stelmakh, Nikita Pavlichenko, Daria Baidakova:
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. CEUR Workshop Proceedings 2932, CEUR-WS.org 2021
Session 1: Shared Task
- Dmitry Ustalov, Nikita Pavlichenko, Ivan Stelmakh, Dmitriy Kuznetsov:
VLDB 2021 Crowd Science Challenge on Aggregating Crowdsourced Audio Transcriptions. 1-7 - Mikhail Orzhenovskii:
Fine-Tuning Pre-Trained Language Model for Crowdsourced Texts Aggregation. 8-14 - Sergey Pletenev:
Noisy Text Sequences Aggregation as a Summarization Subtask. 15-20
Session 2: Regular Papers
- Sujoy Chatterjee:
A Multi-Objective Clustering Ensemble Approach for Crowdsourced Clustering. 21-34 - Daryna Dementieva, Sergey Ustyantsev, David Dale, Olga Kozlova, Nikita Semenov, Alexander Panchenko, Varvara Logacheva:
Crowdsourcing of Parallel Corpora: the Case of Style Transfer for Detoxification. 35-49 - Shawn Ogunseye, Jeffrey Parsons, Doyinsola Afolabi:
Training-Induced Class Imbalance in Crowdsourced Data. 50-59 - Andrew Ponomarev:
Aggregation of Crowdsourced Ontology-Based Item Descriptions by Hierarchical Voting. 60-71 - Ryan Murphy, Jeffrey Parsons:
Finer Granularity Means Better Data: a Crowdsourcing Lab Experiment. 72-86
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