Browse State-of-the-Art › Crowdsourced Text Aggregation
Crowdsourced Text Aggregation
1 paper with code · 2 benchmarks · 1 dataset archive 2025-07-28
One of the most important parts of processing responses from crowd workers is aggregation: given several conflicting opinions, a method should extract the truth. This problem is also known as truth-inference in crowdsourcing. Text aggregation problem is dedicated to extracting the correct information from crowd workers' responses for a crowdsourcing task where the output is a text: audio transcription, translation, character recognition, etc.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| CrowdSpeech test-clean (3 rows) | ROVER | CrowdSpeech and VoxDIY: Benchmark Datasets for Crowdsourced Audio... | code | — | Compare |
| CrowdSpeech test-other (3 rows) | ROVER | CrowdSpeech and VoxDIY: Benchmark Datasets for Crowdsourced Audio... | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
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Most implemented papers archive 2025-07-28
1 shown of 1 paper with code (1 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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2 Jul 2021 1 repository listedThe main obstacle towards designing aggregation methods for more advanced applications is the absence of training data, and in this work, we focus on bridging this gap in speech recognition.
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