-
2
-
-
77951942086
-
Multilevel Bayesian models of categorical data annotation
-
Bob Carpenter. 2008. Multilevel Bayesian models of categorical data annotation. Technical report, Ling-Pipe.
-
(2008)
Technical Report, Ling-Pipe
-
-
Carpenter, B.1
-
3
-
-
0003102944
-
Maximum likelihood estimation of observer error-rates using the em algorithm
-
A. 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
-
-
Philip Dawid, A.1
Skene, A.M.2
-
5
-
-
84890513273
-
Twitter part-of-speech tagging for all: Overcoming sparse and noisy data
-
Leon Derczynski, Alan Ritter, Sam Clark, and Kalina Bontcheva. 2013. Twitter part-of-speech tagging for all: overcoming sparse and noisy data. In RANLP.
-
(2013)
RANLP
-
-
Derczynski, L.1
Ritter, A.2
Clark, S.3
Bontcheva, K.4
-
7
-
-
84926139009
-
What to do about bad language on the internet
-
Jacob Eisenstein. 2013. What to do about bad language on the internet. In NAACL.
-
(2013)
NAACL
-
-
Eisenstein, J.1
-
8
-
-
85094865799
-
Annotating named entities in Twitter data with crowdsourcing
-
Tim Finin,Will Murnane, Anand Karandikar, Nicholas Keller, Justin Martineau, and Mark Dredze. 2010. Annotating named entities in Twitter data with crowdsourcing. In NAACL-HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk.
-
(2010)
NAACL-HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk
-
-
Finin, T.1
Murnane, W.2
Karandikar, A.3
Keller, N.4
Martineau, J.5
Dredze, M.6
-
9
-
-
84876810220
-
From news to comments: Resources and benchmarks for parsing the language of Web 2.0
-
Jennifer Foster, Ozlem Cetinoglu, Joachim Wagner, Josef Le Roux, Joakim Nivre, Deirde Hogan, and Josef van Genabith. 2011. From news to comments: Resources and benchmarks for parsing the language of Web 2.0. In IJCNLP.
-
(2011)
IJCNLP
-
-
Foster, J.1
Cetinoglu, O.2
Wagner, J.3
Le Roux, J.4
Nivre, J.5
Hogan, D.6
Van Genabith, J.7
-
10
-
-
83255189974
-
Part-of-speech tagging for twitter: Annotation, features, and experiments
-
Kevin Gimpel, Nathan Schneider, Brendan O'Connor, Dipanjan Das, Daniel Mills, Jacob Eisenstein, Michael Heilman, Dani Yogatama, Jeffrey Flanigan, and Noah A. Smith. 2011. Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments. In ACL.
-
(2011)
ACL
-
-
Gimpel, K.1
Schneider, N.2
O'connor, B.3
Das, D.4
Mills, D.5
Eisenstein, J.6
Heilman, M.7
Yogatama, D.8
Flanigan, J.9
Smith, N.A.10
-
12
-
-
84951800186
-
When pos datasets dont add up: Combatting sample bias
-
Dirk Hovy, Barbara Plank, and Anders Søgaard. 2014. When pos datasets dont add up: Combatting sample bias. In LREC.
-
(2014)
LREC
-
-
Hovy, D.1
Plank, B.2
Søgaard, A.3
-
15
-
-
0142192295
-
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
-
John Lafferty, Andrew McCallum, and Fernando Pereira. 2001. Conditional random fields: probabilistic models for segmenting and labeling sequence data. In ICML.
-
(2001)
ICML
-
-
Lafferty, J.1
McCallum, A.2
Pereira, F.3
-
16
-
-
84883426617
-
Wiki-ly supervised part-of-speech tagging
-
Shen Li, João Graça, and Ben Taskar. 2012. Wiki-ly supervised part-of-speech tagging. In EMNLP.
-
(2012)
EMNLP
-
-
Li, S.1
Graça, J.2
Taskar, B.3
-
18
-
-
84867119745
-
Tagging English text with a probabilistic model
-
Bernard Merialdo. 1994. Tagging English text with a probabilistic model. Computational linguistics, 20(2):155-171.
-
(1994)
Computational Linguistics
, vol.20
, Issue.2
, pp. 155-171
-
-
Merialdo, B.1
-
19
-
-
84919651291
-
Improved part-of-speech tagging for online conversational text with word clusters
-
Olutobi Owoputi, Brendan O'Connor, Chris Dyer, Kevin Gimpel, Nathan Schneider, and Noah A Smith. 2013. Improved part-of-speech tagging for online conversational text with word clusters. In NAACL.
-
(2013)
NAACL
-
-
Owoputi, O.1
O'connor, B.2
Dyer, C.3
Gimpel, K.4
Schneider, N.5
Smith, N.A.6
-
20
-
-
85026954761
-
A universal part-of-speech tagset
-
Slav Petrov, Dipanjan Das, and Ryan McDonald. 2012. A universal part-of-speech tagset. In LREC.
-
(2012)
LREC
-
-
Petrov, S.1
Das, D.2
McDonald, R.3
-
22
-
-
84857856268
-
Eliminating spammers and ranking annotators for crowdsourced labeling tasks
-
Vikas C. Raykar and Shipeng Yu. 2012. Eliminating Spammers and Ranking Annotators for Crowdsourced Labeling Tasks. Journal of Machine Learning Research, 13:491-518.
-
(2012)
Journal of Machine Learning Research
, vol.13
, pp. 491-518
-
-
Raykar, V.C.1
Yu, S.2
-
23
-
-
80053238545
-
Named entity recognition in tweets: An experimental study
-
Alan Ritter, Sam Clark, Oren Etzioni, et al. 2011. Named entity recognition in tweets: an experimental study. In EMNLP.
-
(2011)
EMNLP
-
-
Ritter, A.1
Clark, S.2
Etzioni, O.3
-
24
-
-
84906923512
-
Sequence labeling with multiple annotators
-
Filipe Rodrigues, Francisco Pereira, and Bernardete Ribeiro. 2013. Sequence labeling with multiple annotators. Machine Learning, pages 1-17.
-
(2013)
Machine Learning
, pp. 1-17
-
-
Rodrigues, F.1
Pereira, F.2
Ribeiro, B.3
-
25
-
-
85043116988
-
Shallow parsing with conditional random fields
-
Fei Sha and Fernando Pereira. 2003. Shallow parsing with conditional random fields. In NAACL.
-
(2003)
NAACL
-
-
Sha, F.1
Pereira, F.2
-
26
-
-
85153964878
-
Inferring ground truth from subjective labelling of Venus images
-
Padhraic Smyth, Usama Fayyad, Mike Burl, Pietro Perona, and Pierre Baldi. 1995. Inferring ground truth from subjective labelling of Venus images. Advances in neural information processing systems, pages 1085-1092.
-
(1995)
Advances in Neural Information Processing Systems
, pp. 1085-1092
-
-
Smyth, P.1
Fayyad, U.2
Burl, M.3
Perona, P.4
Baldi, P.5
-
28
-
-
84903633723
-
Token and type constraints for cross-lingual part-of-speech tagging
-
Mar
-
Oscar Täckström, Dipanjan Das, Slav Petrov, Ryan McDonald, and Joakim Nivre. 2013. Token and type constraints for cross-lingual part-of-speech tagging. TACL, Mar(1):1-12.
-
(2013)
TACL
, vol.1
, pp. 1-12
-
-
Täckström, O.1
Das, D.2
Petrov, S.3
McDonald, R.4
Nivre, J.5
-
30
-
-
77951951247
-
Whose vote should count more: Optimal integration of labels from labelers of unknown expertise
-
Jacob Whitehill, Paul Ruvolo, Tingfan Wu, Jacob Bergsma, and Javier Movellan. 2009. Whose vote should count more: Optimal integration of labels from labelers of unknown expertise. Advances in Neural Information Processing Systems, 22:2035-2043.
-
(2009)
Advances in Neural Information Processing Systems
, vol.22
, pp. 2035-2043
-
-
Whitehill, J.1
Ruvolo, P.2
Wu, T.3
Bergsma, J.4
Movellan, J.5
-
31
-
-
80053158467
-
Modeling annotator expertise: Learning when everybody knows a bit of something
-
Yan Yan, Rómer Rosales, Glenn Fung, Mark Schmidt, Gerardo Hermosillo, Luca Bogoni, Linda Moy, and Jennifer Dy. 2010. Modeling annotator expertise: Learning when everybody knows a bit of something. In International Conference on Artificial Intelligence and Statistics.
-
(2010)
International Conference on Artificial Intelligence and Statistics
-
-
Yan, Y.1
Rosales, R.2
Fung, G.3
Schmidt, M.4
Hermosillo, G.5
Bogoni, L.6
Moy, L.7
Dy, J.8
|