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Crowdsourcing: (a bit of) theory and ((quite) some) practice
Published on Oct 30, 2018432 Views
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Chapter list
Crowdsourcing: (a bit of) theory and ((quite) some) practice00:00
Where I'm talking from - 101:05
Where I'm talking from - 202:16
Crowdsourcing: back to basics - 104:12
Crowdsourcing: back to basics - 204:45
Crowdsourcing - 105:16
Crowdsourcing - 205:51
Crowdsourcing - 306:05
Some remarkable achievements06:20
A simplified taxonomy - 109:11
A simplified taxonomy - 210:15
A simplified taxonomy - 311:26
A simplified taxonomy - 411:36
Myth #1: "Crowdsourcing is recent"15:02
Other examples16:21
Myth #2: "Crowdsourcing implies a crowd of participants"17:13
A crowd of participants? - 118:30
A crowd of participants? - 218:36
A crowd of workers?19:04
Experts vs non-experts - 120:57
Experts vs non-experts - 222:30
Crowdsourcing - 423:42
Crowdsourcing - 524:00
Crowdsourcing: back to basics - 324:35
Games with a purpose25:15
JeuxDeMots: playing association of ideas. . .25:20
Phrase Detectives: playing detective. . .27:16
FoldIt: playing proteins folding - 128:55
FoldIt: playing proteins folding - 230:01
Crowdsourcing: back to basics - 430:43
A complex annotation task31:27
Zombi Lingo - 133:51
Zombi Lingo - 234:21
Zombi Lingo - 334:58
Zombi Lingo - 436:04
General features36:35
LeaderboardS (for achievers)38:05
Hidden features (for explorers)38:38
Duels (for socializers (and killers?))38:46
Badges (?) (for collectors)39:03
Organizing quality assurance39:51
Preprocessing data (freely available corpora) - 141:19
Preprocessing data (freely available corpora) - 241:23
Training, control and evaluation41:44
Training the players41:52
Dealing with cognitive fatigue and long-term players - 142:27
Dealing with cognitive fatigue and long-term players - 243:37
Dealing with cognitive fatigue and long-term players - 344:34
Production: game corpus size45:04
Evaluating quality48:32
Annotation density48:59
Next steps49:04
Conclusion50:31
Crowdsourcing for language resources creation50:33
Thank you54:49