-
1
-
-
0016355478
-
A new look at the statistical model identification
-
AKAIKE, H. 1974. A new look at the statistical model identification. IEEE Trans. Autom. Control 19, 6, 716-723.
-
(1974)
IEEE Trans. Autom. Control
, vol.19
, Issue.6
, pp. 716-723
-
-
Akaike, H.1
-
2
-
-
34548225602
-
An empirical model of multiword expression decomposability
-
BALDWIN, T., BANNARD, C., TANAKA, T., AND WIDDOWS, D. 2003. An empirical model of multiword expression decomposability. In Proceedings of the ACL Workshop on Multiword Expressions: Analysis, Acquisition, and Treatment. 89-96.
-
(2003)
Proceedings of the ACL Workshop on Multiword Expressions: Analysis, Acquisition, and Treatment
, pp. 89-96
-
-
Baldwin, T.1
Bannard, C.2
Tanaka, T.3
Widdows, D.4
-
3
-
-
84870553345
-
Multiword expressions
-
2nd Ed., N. Indurkhya and F. J. Damerau, Eds., CRC Press, Boca Raton, FL
-
BALDWIN, T. AND KIM, S. N. 2009. Multiword expressions. In Handbook of Natural Language Processing 2nd Ed., N. Indurkhya and F. J. Damerau, Eds., CRC Press, Boca Raton, FL.
-
(2009)
Handbook of Natural Language Processing
-
-
Baldwin, T.1
Kim, S.N.2
-
5
-
-
76249118968
-
Topic models
-
Srivastava and M. Sahami, Eds., Chapman & Hall/CRC
-
BLEI, D. AND LAFFERTY, J. 2009. Topic models. In Text Mining: Classification, Clustering, and Applications, Srivastava and M. Sahami, Eds., Chapman & Hall/CRC.
-
(2009)
Text Mining: Classification, Clustering, and Applications
-
-
Blei, D.1
Lafferty, J.2
-
6
-
-
0141607824
-
Latent Dirichlet allocation
-
BLEI, D. M., NG, A. Y., AND JORDAN, M. I. 2003. Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993-1022.
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 993-1022
-
-
Blei, D.M.1
Ng, A.Y.2
Jordan, M.I.3
-
8
-
-
84863381525
-
Reading tea leaves: How humans interpret topic models
-
CHANG, J., BOYD-GRABER, J., GERRISH, S., WANG, C., AND BLEI, D. 2009. Reading tea leaves: How humans interpret topic models. In Proceedings of 24th Annual Conference on Neural Information Processing Systems (NIPS). 288-296.
-
(2009)
Proceedings of 24th Annual Conference on Neural Information Processing Systems (NIPS)
, pp. 288-296
-
-
Chang, J.1
Boyd-Graber, J.2
Gerrish, S.3
Wang, C.4
Blei, D.5
-
9
-
-
0012836809
-
Looking for needles in a haystack, or locating interesting collocational expressions in large textual databases
-
CHOUEKA, Y. 1988. Looking for needles in a haystack, or locating interesting collocational expressions in large textual databases. In Proceedings of Recherche d'Informations Assistee par Ordinateur (RIAO). 609-623.
-
(1988)
Proceedings of Recherche d'Informations Assistee par Ordinateur (RIAO)
, pp. 609-623
-
-
Choueka, Y.1
-
11
-
-
34248560792
-
Topics in semantic representation
-
GRIFFITHS, T. L., STEYVERS, M., AND TENENBAUM, J. B. 2007. Topics in semantic representation. Psychol. Rev. 114, 2, 211-244.
-
(2007)
Psychol. Rev
, vol.114
, Issue.2
, pp. 211-244
-
-
Griffiths, T.L.1
Steyvers, M.2
Tenenbaum, J.B.3
-
14
-
-
80053415861
-
Modeling Chinese documents with topical wordcharacter models
-
HU, W., SHIMIZU, N., NAKAGAWA, H., AND SHENG, H. 2008. Modeling Chinese documents with topical wordcharacter models. In Proceedings of the 22nd International Conference on Computational Linguistics (Coling). 345-352.
-
(2008)
Proceedings of the 22nd International Conference on Computational Linguistics (Coling)
, pp. 345-352
-
-
Hu, W.1
Shimizu, N.2
Nakagawa, H.3
Sheng, H.4
-
16
-
-
0002714543
-
Making large-scale support vector machine learning practical
-
B. Schölkopf, C. Burges, and A. Smola, Eds., MIT Press, Cambridge, MA
-
JOACHIMS, T. 1999. Making large-scale support vector machine learning practical. In Advances in Kernel Methods: Support Vector Learning, B. Schölkopf, C. Burges, and A. Smola, Eds., MIT Press, Cambridge, MA.
-
(1999)
Advances in Kernel Methods: Support Vector Learning
-
-
Joachims, T.1
-
17
-
-
80052248446
-
PCFGs, topic models, adaptor grammars and learning topical collocations and the structure of proper names
-
JOHNSON, M. 2010. PCFGs, topic models, adaptor grammars and learning topical collocations and the structure of proper names. In Proceedings of the 48th Annual Meeting of the ACL (ACL). 1148-1157.
-
(2010)
Proceedings of the 48th Annual Meeting of the ACL (ACL)
, pp. 1148-1157
-
-
Johnson, M.1
-
18
-
-
80052660921
-
Best topic word selection for topic labelling
-
LAU, J., NEWMAN, D., KARIMI, S., AND BALDWIN, T. 2010. Best topic word selection for topic labelling. In Proceedings of Coling (Posters). 605-613.
-
(2010)
Proceedings of Coling (Posters)
, pp. 605-613
-
-
Lau, J.1
Newman, D.2
Karimi, S.3
Baldwin, T.4
-
19
-
-
84937907973
-
Word sense induction for novel sense detection
-
LAU, J. H., COOK, P., MCCARTHY, D., NEWMAN, D., AND BALDWIN, T. 2012. Word sense induction for novel sense detection. In Proceedings of the 13th Conference of the EACL. 59-601.
-
(2012)
Proceedings of the 13th Conference of the EACL
, pp. 59-601
-
-
Lau, J.H.1
Cook, P.2
Mccarthy, D.3
Newman, D.4
Baldwin, T.5
-
21
-
-
80053260943
-
Optimizing semantic coherence in topic models
-
MIMNO, D. M., WALLACH, H. M., TALLEY, E. M., LEENDERS, M., AND MCCALLUM, A. 2011. Optimizing semantic coherence in topic models. In Proceedings of EMNLP. 262-272.
-
(2011)
Proceedings of EMNLP
, pp. 262-272
-
-
Mimno, D.M.1
Wallach, H.M.2
Talley, E.M.3
Leenders, M.4
Mccallum, A.5
-
22
-
-
85023117841
-
Applied morphological processing of English
-
MINNEN, G., CARROLL, J., AND PEARCE, D. 2001. Applied morphological processing of English. Natural Lang. Eng. 7, 3, 207-223.
-
(2001)
Natural Lang. Eng
, vol.7
, Issue.3
, pp. 207-223
-
-
Minnen, G.1
Carroll, J.2
Pearce, D.3
-
24
-
-
79960498353
-
Automatic evaluation of topic coherence
-
NEWMAN, D., LAU, J. H., GRIESER, K., AND BALDWIN, T. 2010. Automatic evaluation of topic coherence. In Proceedings of the 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL HLT). 100-108.
-
(2010)
Proceedings of the 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL HLT)
, pp. 100-108
-
-
Newman, D.1
Lau, J.H.2
Grieser, K.3
Baldwin, T.4
-
25
-
-
0033886806
-
Text classification from labeled and unlabeled documents using EM
-
NIGAM, K., MCCALLUM, A., THRUN, S., AND MITCHELL, T. 2000. Text classification from labeled and unlabeled documents using EM. Mach. Learn. 39, 103-134.
-
(2000)
Mach. Learn
, vol.39
, pp. 103-134
-
-
Nigam, K.1
Mccallum, A.2
Thrun, S.3
Mitchell, T.4
-
30
-
-
49749087162
-
Topical n-grams: Phrase and topic discovery, with an application to information retrieval
-
WANG, X., MCCALLUM, A., AND WEI, X. 2007. Topical n-grams: Phrase and topic discovery, with an application to information retrieval. In Proceedings of the 7th IEEE International Conference on Data Mining (ICDM). 697-702.
-
(2007)
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM)
, pp. 697-702
-
-
Wang, X.1
Mccallum, A.2
Wei, X.3
|