notesum.ai
Published at December 5Quality Control in Open-Ended Crowdsourcing: A Survey
cs.HC
cs.DC
H.1.2; H.4.0
Released Date: December 5, 2024
Authors: Lei Chai1, Hailong Sun1, Jing Zhang1
Aff.: 1Beihang University

| Name | Data Type | Task Type | Open-ended Task | Answer | Size |
| f-BRS [117] | image | IIP | semantic segmentation | clicks on the positive and negative area | large-un |
| PDMRR [9] | image | IIP | human body annotation | keypoints on the human skeleton | large-co |
| CrowdTruth [116] | image | IIP | image description | event description according to the image | large-un |
| LATTE [198] | image | IIP | LiDAR | clicks on the center of the target object | large-un |
| Lean [88] | image | IIP | object selection | 2-D bounding box on the target object | large-co |
| Cascade [39] | image | CSDm | taxonomy creation | suggested categories of the colors | large-co |
| Gadiraju et al. [19] | image | IIP | image transcription | decipher characters from a given image | large-un |
| Trainbot [56] | text | IIP/CSDm | question-answering | answers to open-ended questions | large-un |
| BAU [78] | text | IIP | sequence annotation | the text span of the target content | large-un |
| MAS [78] | text | IIP | sentence translation | translations of the initial sentence | large-un |
| Nguyen et al. [217] | text | CSDm | opinion aggregation | textual ideas | large-un |
| Context trees [61] | text | CSDm | importance rating | importance value of event fragments | countable |
| Kaur et al. [65] | text | CI | plan creation | textual plans | large-un |
| CrowDEA [107] | text | CI | ideas ranking | ideas and opinions | large-un |
| Trainbot [56] | text | CSDm/IIP | conversation | multiple rounds answers | large-un |
| Nguyen et al. [68] | text | CSDm | information finding | middle-names of personalities | large-un |
| GONCALVES et al. [100] | text | IIP/CSDm | knowledge eliciting | pairs of options and criteria | large-un |
| CrowdTruth [116] | text | IIP/CSDm | NER | relation between entities | countable |
| QAMR [12] | text | IIP/CSDm | semantic mining | question-answer pairs | large-un |
| Heteroglossia [67] | text | CI | story ideation | suggestion of story ideas | large-un |
| TAS [16] | text | CSDm | news writing | pieces of events | large-un |
| FFV [20] | text | IIP/CSDm | sentence correction | revised sentence | large-un |
| VoxDIY [220] | audio | IIP/CSDm | audio transcription | textual content of speech | large-un |
| Lipping et al. [221] | audio | IIP/CSDm | audio captioning | textual summary of speech content | large-un |
| Kaspar et al. [222] | video | IIP | video segmentation | scribbles on the video frame | large-un |
| CrowdTruth [116] | video | IIP/CSDm | video description | textual descriptions of video content | large-un |
| C-Reference [7] | video | IIP | object selection | 2-D bounding box | large-co |
| Event anchor [8] | video | IIP/CSDm | context of object and event | 2-D bounding box | large-un |
| Popup [199] | video | IIP | position identification | dimension lines on objects | large-co |
| PDMRR [9] | numerical | IIP/CSDm | id ranking | numerical sequence | countable |