Active learning with confidence

Mark Dredze; Koby Crammer

doi:10.3115/1557690.1557757

Active learning with confidence

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Active learning is a machine learning approach to achieving high-accuracy with a small amount of labels by letting the learning algorithm choose instances to be labeled. Most of previous approaches based on discriminative learning use the margin for choosing instances. We present a method for incorporating confidence into the margin by using a newly introduced online learning algorithm and show empirically that confidence improves active learning.

Original language	English (US)
Title of host publication	ACL-08
Subtitle of host publication	HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference
Publisher	Association for Computational Linguistics (ACL)
Pages	233-236
Number of pages	4
ISBN (Print)	9781932432046
DOIs	https://doi.org/10.3115/1557690.1557757
State	Published - 2008
Externally published	Yes
Event	46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-08: HLT - Columbus, OH, United States Duration: Jun 15 2008 → Jun 20 2008

Publication series

Name	ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference

Conference

Conference	46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-08: HLT
Country/Territory	United States
City	Columbus, OH
Period	6/15/08 → 6/20/08

ASJC Scopus subject areas

Language and Linguistics
Computer Networks and Communications
Linguistics and Language

Access to Document

10.3115/1557690.1557757

Cite this

Dredze, M., & Crammer, K. (2008). Active learning with confidence. In ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference (pp. 233-236). (ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1557690.1557757

Active learning with confidence. / Dredze, Mark; Crammer, Koby.
ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), 2008. p. 233-236 (ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Dredze, M & Crammer, K 2008, Active learning with confidence. in ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, Association for Computational Linguistics (ACL), pp. 233-236, 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-08: HLT, Columbus, OH, United States, 6/15/08. https://doi.org/10.3115/1557690.1557757

Dredze M, Crammer K. Active learning with confidence. In ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL). 2008. p. 233-236. (ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference). doi: 10.3115/1557690.1557757

Dredze, Mark ; Crammer, Koby. / Active learning with confidence. ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), 2008. pp. 233-236 (ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

@inproceedings{cb89d8912b0e4d5fa6452c9473143cfc,

title = "Active learning with confidence",

abstract = "Active learning is a machine learning approach to achieving high-accuracy with a small amount of labels by letting the learning algorithm choose instances to be labeled. Most of previous approaches based on discriminative learning use the margin for choosing instances. We present a method for incorporating confidence into the margin by using a newly introduced online learning algorithm and show empirically that confidence improves active learning.",

author = "Mark Dredze and Koby Crammer",

year = "2008",

doi = "10.3115/1557690.1557757",

language = "English (US)",

isbn = "9781932432046",

series = "ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference",

publisher = "Association for Computational Linguistics (ACL)",

pages = "233--236",

booktitle = "ACL-08",

address = "United States",

note = "46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-08: HLT ; Conference date: 15-06-2008 Through 20-06-2008",

}

TY - GEN

T1 - Active learning with confidence

AU - Dredze, Mark

AU - Crammer, Koby

PY - 2008

Y1 - 2008

N2 - Active learning is a machine learning approach to achieving high-accuracy with a small amount of labels by letting the learning algorithm choose instances to be labeled. Most of previous approaches based on discriminative learning use the margin for choosing instances. We present a method for incorporating confidence into the margin by using a newly introduced online learning algorithm and show empirically that confidence improves active learning.

AB - Active learning is a machine learning approach to achieving high-accuracy with a small amount of labels by letting the learning algorithm choose instances to be labeled. Most of previous approaches based on discriminative learning use the margin for choosing instances. We present a method for incorporating confidence into the margin by using a newly introduced online learning algorithm and show empirically that confidence improves active learning.

UR - http://www.scopus.com/inward/record.url?scp=77953215634&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77953215634&partnerID=8YFLogxK

U2 - 10.3115/1557690.1557757

DO - 10.3115/1557690.1557757

M3 - Conference contribution

AN - SCOPUS:77953215634

SN - 9781932432046

T3 - ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference

SP - 233

EP - 236

BT - ACL-08

PB - Association for Computational Linguistics (ACL)

T2 - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-08: HLT

Y2 - 15 June 2008 through 20 June 2008

ER -

Active learning with confidence

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this