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Volumn 10, Issue 5, 2016, Pages 541-552

Truth inference in crowdsourcing: Is the problem solved?

Author keywords

[No Author keywords available]

Indexed keywords

CROWDSOURCING; DATA MINING; SENTIMENT ANALYSIS;

EID: 85020468498     PISSN: None     EISSN: 21508097     Source Type: Journal    
DOI: 10.14778/3055540.3055547     Document Type: Conference Paper
Times cited : (428)

References (63)
  • 1
    • 85020469390 scopus 로고    scopus 로고
    • https://docs.aws.amazon.com/AWSMechTurk/latest/RequesterUI/amt-ui.pdf.
  • 2
    • 85020425035 scopus 로고    scopus 로고
    • Amazon mechanical turk. https://www.mturk.com/.
  • 3
    • 85020448368 scopus 로고    scopus 로고
    • Chi-squared. https://en.wikipedia.org/wiki/Chi-squared_distribution.
  • 4
    • 85020429296 scopus 로고    scopus 로고
    • Adult Datset. https://github.com/ipeirotis/Get-Another-Label/tree/master/data.
  • 5
    • 84908213945 scopus 로고    scopus 로고
    • Crowdsourcing for multiple-choice question answering
    • B. I. Aydin, Y. S. Yilmaz, Y. Li, Q. Li, J. Gao, and M. Demirbas. Crowdsourcing for multiple-choice question answering. In AAAI, pages 2946-2953, 2014.
    • (2014) AAAI , pp. 2946-2953
    • Aydin, B.I.1    Yilmaz, Y.S.2    Li, Y.3    Li, Q.4    Gao, J.5    Demirbas, M.6
  • 6
    • 0141607824 scopus 로고    scopus 로고
    • Latent dirichlet allocation
    • D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent dirichlet allocation. JMLR, 3(Jan):993-1022, 2003.
    • (2003) JMLR , vol.3 , Issue.JAN , pp. 993-1022
    • Blei, D.M.1    Ng, A.Y.2    Jordan, M.I.3
  • 8
    • 77949817550 scopus 로고    scopus 로고
    • A survey of entity resolution and record linkage methodologies
    • D. G. Brizan and A. U. Tansel. A survey of entity resolution and record linkage methodologies. Communications of the IIMA, 6(3):5, 2015.
    • (2015) Communications of the IIMA , vol.6 , Issue.3 , pp. 5
    • Brizan, D.G.1    Tansel, A.U.2
  • 10
    • 80053402398 scopus 로고    scopus 로고
    • Fast, cheap, and creative: Evaluating translation quality using amazon's mechanical turk
    • C. Callison-Burch. Fast, cheap, and creative: evaluating translation quality using amazon's mechanical turk. In EMNLP, pages 286-295, 2009.
    • (2009) EMNLP , pp. 286-295
    • Callison-Burch, C.1
  • 11
    • 84979681401 scopus 로고    scopus 로고
    • Cost-effective crowdsourced entity resolution: A partial-order approach
    • C. Chai, G. Li, J. Li, D. Deng, and J. Feng. Cost-effective crowdsourced entity resolution: A partial-order approach. In SIGMOD, pages 969-984, 2016.
    • (2016) SIGMOD , pp. 969-984
    • Chai, C.1    Li, G.2    Li, J.3    Deng, D.4    Feng, J.5
  • 12
    • 85020474625 scopus 로고    scopus 로고
    • CrowdFlower. http://crowdflower.com/.
  • 13
    • 85020486903 scopus 로고    scopus 로고
    • Crowdsourcing Datasets. http://dbgroup.cs.tsinghua.edu.cn/ligl/crowddata/.
  • 14
    • 84875617425 scopus 로고    scopus 로고
    • Using the crowd for top-k and group-by queries
    • S. B. Davidson, S. Khanna, T. Milo, and S. Roy. Using the crowd for top-k and group-by queries. In ICDT, pages 225-236, 2013.
    • (2013) ICDT , pp. 225-236
    • Davidson, S.B.1    Khanna, S.2    Milo, T.3    Roy, S.4
  • 15
    • 0003102944 scopus 로고
    • Maximum likelihood estimation of observer error-rates using the em algorithm
    • A. P. Dawid and A. M. Skene. Maximum likelihood estimation of observer error-rates using the em algorithm. Applied statistics, pages 20-28, 1979.
    • (1979) Applied statistics , pp. 20-28
    • Dawid, A.P.1    Skene, A.M.2
  • 16
    • 84860873929 scopus 로고    scopus 로고
    • Zencrowd: Leveraging probabilistic reasoning and crowdsourcing techniques for large-scale entity linking
    • G. Demartini, D. E. Difallah, and P. Cudre-Mauroux. Zencrowd: leveraging probabilistic reasoning and crowdsourcing techniques for large-scale entity linking. In WWW, pages 469-478, 2012.
    • (2012) WWW , pp. 469-478
    • Demartini, G.1    Difallah, D.E.2    Cudre-Mauroux, P.3
  • 19
    • 84957558382 scopus 로고    scopus 로고
    • Icrowd: An adaptive crowdsourcing framework
    • J. Fan, G. Li, B. C. Ooi, K.-I. Tan, and J. Feng. icrowd: An adaptive crowdsourcing framework. In SIGMOD, pages 1015-1030, 2015.
    • (2015) SIGMOD , pp. 1015-1030
    • Fan, J.1    Li, G.2    Ooi, B.C.3    Tan, K.-I.4    Feng, J.5
  • 21
    • 84936873985 scopus 로고    scopus 로고
    • Finish them!: Pricing algorithms for human computation
    • Y. Gao and A. Parameswaran. Finish them!: Pricing algorithms for human computation. PVLDB, 7(14):1965-1976, 2014.
    • (2014) PVLDB , vol.7 , Issue.14 , pp. 1965-1976
    • Gao, Y.1    Parameswaran, A.2
  • 22
    • 84862686874 scopus 로고    scopus 로고
    • So who won?: Dynamic max discovery with the crowd
    • S. Guo, A. G. Parameswaran, and H. Garcia-Molina. So who won?: dynamic max discovery with the crowd. In SIGMOD, pages 385-396, 2012.
    • (2012) SIGMOD , pp. 385-396
    • Guo, S.1    Parameswaran, A.G.2    Garcia-Molina, H.3
  • 23
    • 84976515556 scopus 로고    scopus 로고
    • Clamshell: Speeding up crowds for low-latency data labeling
    • D. Haas, J. Wang, E. Wu, and M. J. Franklin. Clamshell: Speeding up crowds for low-latency data labeling. PVLDB, 9(4):372-383, 2015.
    • (2015) PVLDB , vol.9 , Issue.4 , pp. 372-383
    • Haas, D.1    Wang, J.2    Wu, E.3    Franklin, M.J.4
  • 24
    • 84980390225 scopus 로고    scopus 로고
    • Crowdsourced poi labelling: Location-aware result inference and task assignment
    • H. Hu, Y. Zheng, Z. Bao, G. Li, J. Feng, and R. Cheng. Crowdsourced poi labelling: Location-aware result inference and task assignment. In ICDE, pages 61-72, 2016.
    • (2016) ICDE , pp. 61-72
    • Hu, H.1    Zheng, Y.2    Bao, Z.3    Li, G.4    Feng, J.5    Cheng, R.6
  • 26
    • 85162483531 scopus 로고    scopus 로고
    • Iterative learning for reliable crowdsourcing systems
    • D. R. Karger, S. Oh, and D. Shah. Iterative learning for reliable crowdsourcing systems. In NIPS, pages 1953-1961, 2011.
    • (2011) NIPS , pp. 1953-1961
    • Karger, D.R.1    Oh, S.2    Shah, D.3
  • 27
    • 84901947678 scopus 로고    scopus 로고
    • Bayesian classifier combination
    • H.-C. Kim and Z. Ghahramani. Bayesian classifier combination. In AISTATS, pages 619-627, 2012.
    • (2012) AISTATS , pp. 619-627
    • Kim, H.-C.1    Ghahramani, Z.2
  • 29
    • 84982126145 scopus 로고    scopus 로고
    • Crowdsourced data management: Asurvey
    • G. Li, J. Wang, Y. Zheng, and M. J. Franklin. Crowdsourced data management: Asurvey. TKDE, 28(9):2296-2319, 2016.
    • (2016) TKDE , vol.28 , Issue.9 , pp. 2296-2319
    • Li, G.1    Wang, J.2    Zheng, Y.3    Franklin, M.J.4
  • 30
    • 84938779276 scopus 로고    scopus 로고
    • A confidence-aware approach for truth discovery on long-tail data
    • Q. Li, Y. Li, J. Gao, L. Su, B. Zhao, M. Demirbas, W. Fan, and J. Han. A confidence-aware approach for truth discovery on long-tail data. PVLDB, 8(4):425-436, 2014.
    • (2014) PVLDB , vol.8 , Issue.4 , pp. 425-436
    • Li, Q.1    Li, Y.2    Gao, J.3    Su, L.4    Zhao, B.5    Demirbas, M.6    Fan, W.7    Han, J.8
  • 31
    • 84904367424 scopus 로고    scopus 로고
    • Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation
    • Q. Li, Y. Li, J. Gao, B. Zhao, W. Fan, and J. Han. Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation. In SIGMOD, pages 1187-1198, 2014.
    • (2014) SIGMOD , pp. 1187-1198
    • Li, Q.1    Li, Y.2    Gao, J.3    Zhao, B.4    Fan, W.5    Han, J.6
  • 33
    • 84877752474 scopus 로고    scopus 로고
    • Variational inference for crowdsourcing
    • Q. Liu, J. Peng, and A. T. Ihler. Variational inference for crowdsourcing. In NIPS, pages 692-700, 2012.
    • (2012) NIPS , pp. 692-700
    • Liu, Q.1    Peng, J.2    Ihler, A.T.3
  • 34
    • 84873191280 scopus 로고    scopus 로고
    • Cdas: A crowdsourcing data analytics system
    • X. Liu, M. Lu, B. C. Ooi, Y. Shen, S. Wu, and M. Zhang. Cdas: a crowdsourcing data analytics system. PVLDB, 5(10):1040-1051, 2012.
    • (2012) PVLDB , vol.5 , Issue.10 , pp. 1040-1051
    • Liu, X.1    Lu, M.2    Ooi, B.C.3    Shen, Y.4    Wu, S.5    Zhang, M.6
  • 35
    • 84954098959 scopus 로고    scopus 로고
    • Faitcrowd: Fine grained truth discovery for crowdsourced data aggregation
    • F. Ma, Y. Li, Q. Li, M. Qiu, J. Gao, S. Zhi, L. Su, B. Zhao, H. Ji, and J. Han. Faitcrowd: Fine grained truth discovery for crowdsourced data aggregation. In KDD, pages 745-754, 2015.
    • (2015) KDD , pp. 745-754
    • Ma, F.1    Li, Y.2    Li, Q.3    Qiu, M.4    Gao, J.5    Zhi, S.6    Su, L.7    Zhao, B.8    Ji, H.9    Han, J.10
  • 37
    • 80053541967 scopus 로고    scopus 로고
    • Crowdsourced databases: Query processing with people
    • A. Marcus, E. Wu, S. Madden, and R. C. Miller. Crowdsourced databases: Query processing with people. In CIDR, pages 211-214, 2011.
    • (2011) CIDR , pp. 211-214
    • Marcus, A.1    Wu, E.2    Madden, S.3    Miller, R.C.4
  • 40
    • 85020405143 scopus 로고    scopus 로고
    • Project Page. http://dbgroup.cs.tsinghua.edu.cn/ligl/crowd_truth_inference/.
  • 42
    • 0002947255 scopus 로고    scopus 로고
    • A mathematical theory of communication
    • C. E. Shannon. A mathematical theory of communication. SIGMOBILE Mob. Comput. Commun. Rev., 5(1):3-55, 2001.
    • (2001) SIGMOBILE Mob. Comput. Commun. Rev , vol.5 , Issue.1 , pp. 3-55
    • Shannon, C.E.1
  • 43
  • 44
    • 80053360508 scopus 로고    scopus 로고
    • Cheap and fast-but is it good?: Evaluating non-expert annotations for natural language tasks
    • R. Snow, B. O'Connor, D. Jurafsky, and A. Y. Ng. Cheap and fast-but is it good?: evaluating non-expert annotations for natural language tasks. In EMNLP, pages 254-263, 2008.
    • (2008) EMNLP , pp. 254-263
    • Snow, R.1    O'Connor, B.2    Jurafsky, D.3    Ng, A.Y.4
  • 45
    • 85020385776 scopus 로고    scopus 로고
    • Twitter Sentiment. http://www.sananalytics.com/lab/twitter-sentiment/.
  • 46
    • 84909581998 scopus 로고    scopus 로고
    • Community-based bayesian aggregation models for crowdsourcing
    • M. Venanzi, J. Guiver, G. Kazai, P. Kohli, and M. Shokouhi. Community-based bayesian aggregation models for crowdsourcing. In WWW, pages 155-164, 2014.
    • (2014) WWW , pp. 155-164
    • Venanzi, M.1    Guiver, J.2    Kazai, G.3    Kohli, P.4    Shokouhi, M.5
  • 47
    • 84860870463 scopus 로고    scopus 로고
    • Max algorithms in crowdsourcing environments
    • P. Venetis, H. Garcia-Molina, K. Huang, and N. Polyzotis. Max algorithms in crowdsourcing environments. In WWW, pages 989-998, 2012.
    • (2012) WWW , pp. 989-998
    • Venetis, P.1    Garcia-Molina, H.2    Huang, K.3    Polyzotis, N.4
  • 48
    • 51749107030 scopus 로고    scopus 로고
    • Recaptcha: Human-based character recognition via web security measures
    • L. Von Ahn, B. Maurer, C. McMillen, D. Abraham, and M. Blum. recaptcha: Human-based character recognition via web security measures. Science, 321(5895):1465-1468, 2008.
    • (2008) Science , vol.321 , Issue.5895 , pp. 1465-1468
    • Von Ahn, L.1    Maurer, B.2    McMillen, C.3    Abraham, D.4    Blum, M.5
  • 49
    • 65749118363 scopus 로고    scopus 로고
    • Graphical models, exponential families, and variational inference
    • M. J. Wainwright and M. I. Jordan. Graphical models, exponential families, and variational inference. Foundations and Trends in Machine Learning, 1(1-2):1-305, 2008.
    • (2008) Foundations and Trends in Machine Learning , vol.1 , Issue.1-2 , pp. 1-305
    • Wainwright, M.J.1    Jordan, M.I.2
  • 50
    • 84872946975 scopus 로고    scopus 로고
    • Crowder: Crowdsourcing entity resolution
    • J. Wang, T. Kraska, M. J. Franklin, and J. Feng. Crowder: Crowdsourcing entity resolution. PVLDB, 5(11):1483-1494, 2012.
    • (2012) PVLDB , vol.5 , Issue.11 , pp. 1483-1494
    • Wang, J.1    Kraska, T.2    Franklin, M.J.3    Feng, J.4
  • 51
  • 52
    • 84881231558 scopus 로고    scopus 로고
    • Question selection for crowd entity resolution
    • S. E. Whang, P. Lofgren, and H. Garcia-Molina. Question selection for crowd entity resolution. PVLDB, 6(6):349-360, 2013.
    • (2013) PVLDB , vol.6 , Issue.6 , pp. 349-360
    • Whang, S.E.1    Lofgren, P.2    Garcia-Molina, H.3
  • 53
    • 77951951247 scopus 로고    scopus 로고
    • Whose vote should count more: Optimal integration of labels from labelers of unknown expertise
    • J. Whitehill, T.-F. Wu, J. Bergsma, J. R. Movellan, and P. L. Ruvolo. Whose vote should count more: Optimal integration of labels from labelers of unknown expertise. In NIPS, pages 2035-2043, 2009.
    • (2009) NIPS , pp. 2035-2043
    • Whitehill, J.1    Wu, T.-F.2    Bergsma, J.3    Movellan, J.R.4    Ruvolo, P.L.5
  • 55
    • 84975797359 scopus 로고    scopus 로고
    • Crowdsourced top-k algorithms: An experimental evaluation
    • X. Zhang, G. Li, and J. Feng. Crowdsourced top-k algorithms: An experimental evaluation. PVLDB, 9(8):612-623, 2016.
    • (2016) PVLDB , vol.9 , Issue.8 , pp. 612-623
    • Zhang, X.1    Li, G.2    Feng, J.3
  • 56
    • 84995774405 scopus 로고    scopus 로고
    • Comparing twitter and traditional media using topic models
    • W. X. Zhao, J. Jiang, J. Weng, J. He, E.-P. Lim, H. Yan, and X. Li. Comparing twitter and traditional media using topic models. In ECIR, pages 338-349. 2011.
    • (2011) ECIR , pp. 338-349
    • Zhao, W.X.1    Jiang, J.2    Weng, J.3    He, J.4    Lim, E.-P.5    Yan, H.6    Li, X.7
  • 57
    • 84976333362 scopus 로고    scopus 로고
    • Crowd-selection query processing in crowdsourcing databases: A task-driven approach
    • Z. Zhao, F. Wei, M. Zhou, W. Chen, and W. Ng. Crowd-selection query processing in crowdsourcing databases: A task-driven approach. EDBT, pages 397-408, 2015.
    • (2015) EDBT , pp. 397-408
    • Zhao, Z.1    Wei, F.2    Zhou, M.3    Chen, W.4    Ng, W.5
  • 58
    • 84976285854 scopus 로고    scopus 로고
    • On optimality of jury selection in crowdsourcing
    • Y. Zheng, R. Cheng, S. Maniu, and L. Mo. On optimality of jury selection in crowdsourcing. In EDBT, pages 193-204, 2015.
    • (2015) EDBT , pp. 193-204
    • Zheng, Y.1    Cheng, R.2    Maniu, S.3    Mo, L.4
  • 59
    • 85020440647 scopus 로고    scopus 로고
    • Docs: A domain-aware crowdsourcing system using knowledge bases
    • Y. Zheng, G. Li, and R. Cheng. Docs: a domain-aware crowdsourcing system using knowledge bases. PVLDB, 10(4):361-372, 2016.
    • (2016) PVLDB , vol.10 , Issue.4 , pp. 361-372
    • Zheng, Y.1    Li, G.2    Cheng, R.3
  • 60
    • 84957566214 scopus 로고    scopus 로고
    • Qasca: A quality-aware task assignment system for crowdsourcing applications
    • Y. Zheng, J. Wang, G. Li, R. Cheng, and J. Feng. Qasca: A quality-aware task assignment system for crowdsourcing applications. In SIGMOD, pages 1031-1046, 2015.
    • (2015) SIGMOD , pp. 1031-1046
    • Zheng, Y.1    Wang, J.2    Li, G.3    Cheng, R.4    Feng, J.5
  • 61
    • 84877729010 scopus 로고    scopus 로고
    • Learning from the wisdom of crowds by minimax entropy
    • D. Zhou, S. Basu, Y. Mao, and J. C. Platt. Learning from the wisdom of crowds by minimax entropy. In NIPS, pages 2195-2203, 2012.
    • (2012) NIPS , pp. 2195-2203
    • Zhou, D.1    Basu, S.2    Mao, Y.3    Platt, J.C.4
  • 62
    • 84979669863 scopus 로고    scopus 로고
    • Aggregating ordinal labels from crowds by minimax conditional entropy
    • D. Zhou, Q. Liu, J. Platt, and C. Meek. Aggregating ordinal labels from crowds by minimax conditional entropy. In ICML, pages 262-270, 2014.
    • (2014) ICML , pp. 262-270
    • Zhou, D.1    Liu, Q.2    Platt, J.3    Meek, C.4
  • 63
    • 0000806445 scopus 로고    scopus 로고
    • Minimax entropy principle and its application to texture modeling
    • S. Zhu, Y. Wu, and D. Mumford. Minimax entropy principle and its application to texture modeling. Neural computation, 9(8):1627-1660, 1997.
    • (1997) Neural computation , vol.9 , Issue.8 , pp. 1627-1660
    • Zhu, S.1    Wu, Y.2    Mumford, D.3


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