-
1
-
-
0002652285
-
A maximum entropy approach to natural language processing
-
A. L. Berger, S. A. Della, and V. J Della. 1996. A maximum entropy approach to natural language processing. Computational Linguistics 22(1):39-71.
-
(1996)
Computational Linguistics
, vol.22
, Issue.1
, pp. 39-71
-
-
Berger, A.L.1
Della, S.A.2
Della, V.J.3
-
3
-
-
80053351041
-
Estimating class priors in domain adaptation
-
Y. S. Chan and H. T. Ng. 2006. Estimating class priors in domain adaptation. In Proc. of ACL06.
-
(2006)
Proc. of ACL06
-
-
Chan, Y.S.1
Ng, H.T.2
-
4
-
-
0346586663
-
SMOTE: Synthetic minority over-sampling technique
-
N. Chawla, K. Bowyer, L. Hall, W. Kegelmeyer. 2002. SMOTE: synthetic minority over-sampling technique. Journal of Artificial Intelligence Research, 2002(16): 321-357. (Pubitemid 43057176)
-
(2002)
Journal of Artificial Intelligence Research
, vol.16
, pp. 321-357
-
-
Chawla, N.V.1
Bowyer, K.W.2
Hall, L.O.3
Kegelmeyer, W.P.4
-
5
-
-
84863352687
-
An empirical study of the behavior of active learning for word sense disambiguation
-
J. Chen, A. Schein, L. Ungar, M. Palmer. 2006. An empirical study of the behavior of active learning for word sense disambiguation. In Proc. of HLT-NAACL06.
-
(2006)
Proc. of HLT-NAACL06
-
-
Chen, J.1
Schein, A.2
Ungar, L.3
Palmer, M.4
-
7
-
-
84859919972
-
The role of semantic roles in disambiguating verb senses
-
H. T. Dang and M. Palmer. 2005. The Role of Semantic Roles in Disambiguating Verb Senses. In Proc. of ACL'05.
-
(2005)
Proc. of ACL'05
-
-
Dang, H.T.1
Palmer, M.2
-
8
-
-
1442356040
-
A multiple resampling method for learning from imbalanced data set
-
A. Estabrooks, T. Jo and N. Japkowicz. 2004. A multiple resampling method for learning from imbalanced data set. Computational Intelligence, 20(1):18-36.
-
(2004)
Computational Intelligence
, vol.20
, Issue.1
, pp. 18-36
-
-
Estabrooks, A.1
Jo, T.2
Japkowicz, N.3
-
12
-
-
0002487107
-
Introduction to the special issue on word sense disambiguation: The state of the art
-
N. Ide and J. Veronis. 1998. Introduction to the special issue on word sense disambiguation: the state of the art. Computational Linguistics, 24(1):1-37.
-
(1998)
Computational Linguistics
, vol.24
, Issue.1
, pp. 1-37
-
-
Ide, N.1
Veronis, J.2
-
13
-
-
33845536164
-
The class imbalance problem: A systematic study
-
N. Japkowicz and S. Stephen. 2002. The class imbalance problem: a systematic study. Intelligent Data Analysis, 6(5):429-450.
-
(2002)
Intelligent Data Analysis
, vol.6
, Issue.5
, pp. 429-450
-
-
Japkowicz, N.1
Stephen, S.2
-
14
-
-
27144540575
-
Class imbalances versus small disjuncts
-
T. Jo and N. Japkowicz. 2004. Class imbalances versus small disjuncts. SIGKSS Explorations, 6(1):40-49.
-
(2004)
SIGKSS Explorations
, vol.6
, Issue.1
, pp. 40-49
-
-
Jo, T.1
Japkowicz, N.2
-
15
-
-
84859902160
-
Learning semantic classes for word sense disambiguation
-
U. S. Kohomban and W. S. Lee. 2005. Learning Semantic Classes for Word Sense Disambiguation. In Proc. of ACL'05.
-
(2005)
Proc. of ACL'05
-
-
Kohomban, U.S.1
Lee, W.S.2
-
16
-
-
0001972236
-
Addressing the curse of imbalanced training sets: One-sided selection
-
M. Kubat and S. Matwin. 1997. Addressing the curse of imbalanced training sets: one-sided selection. In Proc. of ICML97.
-
(1997)
Proc. of ICML97
-
-
Kubat, M.1
Matwin, S.2
-
17
-
-
85134472546
-
An empirical evaluation of knowledge sources and learning algorithm for word sense disambiguation
-
Y.K. Lee and H.T. Ng. 2002. An empirical evaluation of knowledge sources and learning algorithm for word sense disambiguation. In Proc. of EMNLP-2002.
-
(2002)
Proc. of EMNLP-2002
-
-
Lee, Y.K.1
Ng, H.T.2
-
18
-
-
85013879626
-
A sequential algorithm for training text classifiers
-
D. D. Lewis and W. A. Gale. 1994. A sequential algorithm for training text classifiers. In Proc. of SIGIR-94.
-
(1994)
Proc. of SIGIR-94
-
-
Lewis, D.D.1
Gale, W.A.2
-
19
-
-
85124125604
-
Heterogeneous uncertainty sampling for supervised learning
-
D.D. Lewis and J. Catlett. 1994. Heterogeneous uncertainty sampling for supervised learning. In Proc. of ICML94.
-
(1994)
Proc. of ICML94
-
-
Lewis, D.D.1
Catlett, J.2
-
20
-
-
34249852033
-
Building a large annotated corpus of English: The Penn Treebank
-
M. Marcus, B. Santorini, and M. A. Marcinkiewicz. 1993. Building a large annotated corpus of English: the Penn Treebank. Computational Linguistics, 19(2):313-330.
-
(1993)
Computational Linguistics
, vol.19
, Issue.2
, pp. 313-330
-
-
Marcus, M.1
Santorini, B.2
Marcinkiewicz, M.A.3
-
25
-
-
20844458491
-
Mining with rarity-problems and solutions: A unifying framework
-
G. M. Weiss. 2004. Mining with rarity - problems and solutions: a unifying framework. SIGKDD Explorations, 6(1):7-19.
-
(2004)
SIGKDD Explorations
, vol.6
, Issue.1
, pp. 7-19
-
-
Weiss, G.M.1
-
26
-
-
80053345073
-
Aligning features with sense distinction dimensions
-
N. Xue, J. Chen and M. Palmer. 2006. Aligning Features with Sense Distinction Dimensions. In Proc. of ACL'06.
-
(2006)
Proc. of ACL'06
-
-
Xue, N.1
Chen, J.2
Palmer, M.3
-
27
-
-
31344442851
-
Training cost-sensitive neural networks with methods addressing the class imbalance problem
-
DOI 10.1109/TKDE.2006.17
-
Z. Zhou, X. Liu. 2006. Training cost-sensitive neural networks with methods addressing the class imbalance problem. IEEE Transactions on Knowledge and Data Engineering, 18(1):63-77. (Pubitemid 43145089)
-
(2006)
IEEE Transactions on Knowledge and Data Engineering
, vol.18
, Issue.1
, pp. 63-77
-
-
Zhou, Z.-H.1
Liu, X.-Y.2
-
28
-
-
12744250266
-
An evaluation of statistical spam filtering techniques
-
DOI 10.1145/1039621.1039625, Computer Processing of Oriental Languages
-
L. Zhang, J. Zhu, and T. Yao. 2004. An evaluation of statistical spam filtering techniques. ACM Transactions on Asian Language Information Processing, 3(4):243-269. (Pubitemid 40155221)
-
(2004)
ACM Transactions on Asian Language Information Processing
, vol.3
, Issue.4
, pp. 243-269
-
-
Zhang, L.E.1
Zhu, J.2
Yao, T.3
-
29
-
-
0036613407
-
An active learning framework for content-based information retrieval
-
C. Zhang and T. Chen. 2002. An active learning framework for content-based information retrieval. IEEE Transactions on Multimedia, 4(2):260-268.
-
(2002)
IEEE Transactions on Multimedia
, vol.4
, Issue.2
, pp. 260-268
-
-
Zhang, C.1
Chen, T.2
-
30
-
-
33749256006
-
Maximum margin semi-supervised learning for structured variables
-
Y. Altun, D. McAllester, and M. Belkin. 2005. Maximum Margin Semi-Supervised Learning for Structured Variables. In Proc. of NIPS*2005.
-
(2005)
Proc. of NIPS*2005
-
-
Altun, Y.1
McAllester, D.2
Belkin, M.3
-
31
-
-
84859921107
-
A high-performance semi-supervised learning method for text chunking
-
R. Ando and T. Zhang. 2005. A High-Performance Semi-Supervised Learning Method for Text Chunking. In Proc. of ACL-2005, pages 1-9.
-
(2005)
Proc. of ACL-2005
, pp. 1-9
-
-
Ando, R.1
Zhang, T.2
-
32
-
-
33749237544
-
Semi-supervised learning for structured output variables
-
U. Brefeld and T. Scheffer. 2006. Semi-Supervised Learning for Structured Output Variables. In Proc. of ICML-2006.
-
(2006)
Proc. of ICML-2006
-
-
Brefeld, U.1
Scheffer, T.2
-
33
-
-
84978165199
-
Named entity recognition with a maximum entropy approach
-
H. L. Chieu and Hwee T. Ng. 2003. Named Entity Recognition with a Maximum Entropy Approach. In Proc. of CoNLL-2003, pages 160-163.
-
(2003)
Proc. of CoNLL-2003
, pp. 160-163
-
-
Chieu, H.L.1
Ng, H.T.2
-
34
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
A. P. Dempster, N. M. Laird, and D. B. Rubin. 1977. Maximum Likelihood from Incomplete Data via the EM Algorithm. Journal of the Royal Statistical Society, Series B, 39:1-38.
-
(1977)
Journal of the Royal Statistical Society, Series B
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
36
-
-
29344468051
-
A hybrid generative/discriminative approach to semi-supervised classifier design
-
Proceedings of the 20th National Conference on Artificial Intelligence and the 17th Innovative Applications of Artificial Intelligence Conference, AAAI-05/IAAI-05
-
A. Fujino, N. Ueda, and K. Saito. 2005. A Hybrid Generative/ Discriminative Approach to Semi-Supervised Classifier Design. In Proc. of AAAI-05, pages 764- 769. (Pubitemid 43006701)
-
(2005)
Proceedings of the National Conference on Artificial Intelligence
, vol.2
, pp. 764-769
-
-
Fujino, A.1
Ueda, N.2
Saito, K.3
-
37
-
-
84898928156
-
Semi-supervised learning by entropy minimization
-
Y. Grandvalet and Y. Bengio. 2004. Semi-Supervised Learning by Entropy Minimization. In Proc. of NIPS*2004, pages 529-536.
-
(2004)
Proc. of NIPS*2004
, pp. 529-536
-
-
Grandvalet, Y.1
Bengio, Y.2
-
38
-
-
84860537772
-
Semi-supervised conditional random fields for improved sequence segmentation and labeling
-
F. Jiao, S. Wang, C.-H. Lee, R. Greiner, and D. Schuurmans. 2006. Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling. In Proc. of COLING/ACL-2006, pages 209- 216.
-
(2006)
Proc. of COLING/ACL-2006
, pp. 209-216
-
-
Jiao, F.1
Wang, S.2
Lee, C.-H.3
Greiner, R.4
Schuurmans, D.5
-
39
-
-
80053222535
-
Chunking with support vector machines
-
T. Kudo and Y. Matsumoto. 2001. Chunking with Support Vector Machines. In Proc. of NAACL 2001, pages 192-199.
-
(2001)
Proc. of NAACL 2001
, pp. 192-199
-
-
Kudo, T.1
Matsumoto, Y.2
-
40
-
-
0142192295
-
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
-
J. Lafferty, A. McCallum, and F. Pereira. 2001. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. In Proc. of ICML-2001, pages 282-289.
-
(2001)
Proc. of ICML-2001
, pp. 282-289
-
-
Lafferty, J.1
Mccallum, A.2
Pereira, F.3
-
41
-
-
29244455873
-
Semi-supervised sequence modeling with syntactic topic models
-
Proceedings of the 20th National Conference on Artificial Intelligence and the 17th Innovative Applications of Artificial Intelligence Conference, AAAI-05/IAAI-05
-
W. Li and A. McCallum. 2005. Semi-Supervised Sequence Modeling with Syntactic Topic Models. In Proc. of AAAI-2005, pages 813-818. (Pubitemid 43006709)
-
(2005)
Proceedings of the National Conference on Artificial Intelligence
, vol.2
, pp. 813-818
-
-
Li, W.1
McCallum, A.2
-
42
-
-
33646887390
-
On the limited memory BFGS method for large scale optimization
-
D. C. Liu and J. Nocedal. 1989. On the Limited Memory BFGS Method for Large Scale Optimization. Math. Programming, Ser. B, 45(3):503-528. (Pubitemid 20660315)
-
(1989)
Mathematical Programming, Series B
, vol.45
, Issue.3
, pp. 503-528
-
-
Liu Dong, C.1
Nocedal Jorge2
-
43
-
-
0033886806
-
Text classification from labeled and unlabeled documents using EM
-
K. Nigam, A. McCallum, S. Thrun, and T. Mitchell. 2000. Text Classification from Labeled and Unlabeled Documents using EM. Machine Learning, 39:103- 134. (Pubitemid 30594822)
-
(2000)
Machine Learning
, vol.39
, Issue.2
, pp. 103-134
-
-
Nigam, K.1
Mccallum, A.K.2
Thrun, S.3
Mitchell, T.4
-
45
-
-
85043116988
-
Shallow parsing with conditional random fields
-
F. Sha and F. Pereira. 2003. Shallow Parsing with Conditional Random Fields. In Proc. of HLT/NAACL-2003, pages 213-220.
-
(2003)
Proc. of HLT/NAACL-2003
, pp. 213-220
-
-
Sha, F.1
Pereira, F.2
-
46
-
-
33645977859
-
Logarithmic opinion Pools for conditional random fields
-
A. Smith, T. Cohn, and M. Osborne. 2005. Logarithmic Opinion Pools for Conditional Random Fields. In Proc. of ACL-2005, pages 10-17.
-
(2005)
Proc. of ACL-2005
, pp. 10-17
-
-
Smith, A.1
Cohn, T.2
Osborne, M.3
-
47
-
-
65449165936
-
Reducing weight under training in structured discriminative learning
-
C. Sutton, M. Sindelar, and A. McCallum. 2006. Reducing Weight Under training in Structured Discriminative Learning. In Proc. of HTL-NAACL 2006, pages 89-95.
-
(2006)
Proc. of HTL-NAACL 2006
, pp. 89-95
-
-
Sutton, C.1
Sindelar, M.2
McCallum, A.3
-
48
-
-
84860500490
-
Training conditional random fields with multivariate evaluation measure
-
J. Suzuki, E. McDermott, and H. Isozoki. 2006. Training Conditional Random Fields with Multivariate Evaluation Measure. In Proc. of COLING/ACL-2006, pages 217-224.
-
(2006)
Proc. of COLING/ACL-2006
, pp. 217-224
-
-
Suzuki, J.1
McDermott, E.2
Isozoki, H.3
-
50
-
-
85099019865
-
Introduction to the CoNLL-2003 shared task: Language- independent named entity recognition
-
E. T. Tjong Kim Sang and F. De Meulder. 2003. Introduction to the CoNLL-2003 Shared Task: Language- Independent Named Entity Recognition. In Proc. of CoNLL-2003, pages 142-147.
-
(2003)
Proc. of CoNLL-2003
, pp. 142-147
-
-
Tjong Kim Sang, E.T.1
De Meulder, F.2
-
51
-
-
0347617360
-
Text Chunking based on a Generalization of Winnow
-
DOI 10.1162/153244302320884560
-
T. Zhang, F. Damerau, and D. Johnson. 2002. Text Chunking based on a Generalization of Winnow. Machine Learning Research, 2:615-637. (Pubitemid 135712575)
-
(2002)
Journal of Machine Learning Research
, vol.2
, Issue.4
, pp. 615-637
-
-
Zhang, T.1
Damerau, F.2
Johnson, D.3
-
52
-
-
1942484430
-
Semi-supervised learning using Gaussian fields and harmonic functions
-
X. Zhu, Z. Ghahramani, and J. Lafferty. 2003. Semi- Supervised Learning using Gaussian Fields and Harmonic Functions. In Proc.of ICML-2003, pages 912- 919.
-
(2003)
Proc.of ICML-2003
, pp. 912-919
-
-
Zhu, X.1
Ghahramani, Z.2
Lafferty, J.3
|