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Volumn 1, Issue , 2017, Pages 299-309

Aggregating and predicting sequence labels from crowd annotations

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; FORECASTING; HIDDEN MARKOV MODELS; LINGUISTICS; MARKOV PROCESSES;

EID: 85040925942     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/P17-1028     Document Type: Conference Paper
Times cited : (103)

References (41)
  • 4
    • 84904136037 scopus 로고    scopus 로고
    • Large-scale machine learning with stochastic gradient descent
    • Springer
    • Léon Bottou. 2010. Large-scale machine learning with stochastic gradient descent. In Proceedings of COMPSTAT'2010, Springer, pages 177-186.
    • (2010) Proceedings of COMPSTAT'2010 , pp. 177-186
    • Bottou, L.1
  • 6
    • 0345007542 scopus 로고    scopus 로고
    • Named entity recognition: A maximum entropy approach using global information
    • Association for Computational Linguistics
    • Hai Leong Chieu and Hwee Tou Ng. 2002. Named entity recognition: a maximum entropy approach using global information. In Proceedings of the 19th international conference on Computational linguistics-Volume 1. Association for Computational Linguistics, pages 1-7. http://aclweb.org/anthology/C02-1025.
    • (2002) Proceedings of The 19th International Conference on Computational Linguistics-Volume 1 , pp. 1-7
    • Chieu, H.L.1    Ng, H.T.2
  • 8
    • 0003102944 scopus 로고
    • Maximum likelihood estimation of observer error-rates using the em algorithm
    • Alexander Philip Dawid and Allan M Skene. 1979. Maximum likelihood estimation of observer error-rates using the em algorithm. Applied statistics pages 20-28.
    • (1979) Applied Statistics , pp. 20-28
    • Dawid, A.P.1    Skene, A.M.2
  • 18
    • 84959922810 scopus 로고    scopus 로고
    • Estimation of discourse segmentation labels from crowd data
    • Association for Computational Linguistics, Lisbon, Portugal
    • Ziheng Huang, Jialu Zhong, and Rebecca J. Passon-neau. 2015. Estimation of discourse segmentation labels from crowd data. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, Lisbon, Portugal, pages 2190-2200. http://aclweb.org/anthology/D15-1261.
    • (2015) Proceedings of The 2015 Conference on Empirical Methods in Natural Language Processing , pp. 2190-2200
    • Huang, Z.1    Zhong, J.2    Passonneau, R.J.3
  • 19
    • 80053381171 scopus 로고    scopus 로고
    • Why doesn't em find good hmm pos-taggers?
    • Mark Johnson. 2007. Why doesn't em find good hmm pos-taggers? In EMNLP-CoNLL. pages 296-305. http://aclweb.org/anthology/D07-1031.
    • (2007) EMNLP-CoNLL , pp. 296-305
    • Johnson, M.1
  • 22
    • 84961376850 scopus 로고    scopus 로고
    • Convolutional neural networks for sentence classification
    • Association for Computational Linguistics, Doha, Qatar
    • Yoon Kim. 2014. Convolutional neural networks for sentence classification. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, Doha, Qatar, pages 1746-1751. http://www.aclweb.org/anthology/D14-1181.
    • (2014) Proceedings of The 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pp. 1746-1751
    • Kim, Y.1
  • 30
    • 0022594196 scopus 로고
    • An introduction to hidden markov models
    • Lawrence Rabiner and B Juang. 1986. An introduction to hidden markov models. ieee assp magazine 3(1):4-16.
    • (1986) Ieee Assp Magazine , vol.3 , Issue.1 , pp. 4-16
    • Rabiner, L.1    Juang, B.2
  • 32
    • 84898827632 scopus 로고    scopus 로고
    • Sequence labeling with multiple annotators
    • Filipe Rodrigues, Francisco Pereira, and Bernardete Ribeiro. 2014. Sequence labeling with multiple annotators. Machine learning 95(2):165-181.
    • (2014) Machine Learning , vol.95 , Issue.2 , pp. 165-181
    • Rodrigues, F.1    Pereira, F.2    Ribeiro, B.3
  • 36
    • 80053360508 scopus 로고    scopus 로고
    • Cheap and fast - But is it good? Evaluating non-expert annotations for natural language tasks
    • Association for Computational Linguistics
    • Rion Snow, Brendan O'Connor, Daniel Jurafsky, and Andrew Ng. 2008. Cheap and fast - but is it good? evaluating non-expert annotations for natural language tasks. In Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, pages 254-263. http://aclweb.org/anthology/D081027.
    • (2008) Proceedings of The 2008 Conference on Empirical Methods in Natural Language Processing , pp. 254-263
    • Snow, R.1    O'Connor, B.2    Jurafsky, D.3    Ng, A.4
  • 39
    • 84989205130 scopus 로고    scopus 로고
    • Extracting pico sentences from clinical trial reports using supervised distant supervision
    • Byron C Wallace, Joël Kuiper, Aakash Sharma, Mingxi Brian Zhu, and Iain J Marshall. 2016. Extracting pico sentences from clinical trial reports using supervised distant supervision. Journal of Machine Learning Research 17(132):1-25.
    • (2016) Journal of Machine Learning Research , vol.17 , Issue.132 , pp. 1-25
    • Wallace, B.C.1    Kuiper, J.2    Sharma, A.3    Zhu, M.B.4    Marshall, I.J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.