-
1
-
-
80052896774
-
A graph kernel for protein-protein interaction extraction
-
¨jorne, and, Columbus, USA
-
¨jorne, T Pahikkala, F Ginter, and T Salakoski. 2008. A graph kernel for protein-protein interaction extraction. In Proceedings of BioNLP 2008, pages 1-9, Columbus, USA.
-
(2008)
Proceedings of BioNLP 2008
, pp. 1-9
-
-
Airola, A1
Pyysalo, S2
Pahikkala, T3
Ginter, F4
Salakoski, T5
-
2
-
-
80053262847
-
A shortest path dependency kernel for relation extraction
-
Vancouver, British Columbia, Canada, October. Association for Computational Linguistics
-
R Bunescu and R Mooney. 2005. A shortest path dependency kernel for relation extraction. In Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, pages 724-731, Vancouver, British Columbia, Canada, October. Association for Computational Linguistics.
-
(2005)
Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing
, pp. 724-731
-
-
Bunescu, R1
Mooney, R2
-
4
-
-
16244423656
-
Comparative experiments on learning information extractors for proteins and their interactions
-
R Bunescu, R Ge, RJ Kate, EM Marcotte, RJ Mooney, AK Ramani, and YW Wong. 2005. Comparative experiments on learning information extractors for proteins and their interactions. Artificial Intelligence in Medicine (Special Issue on Summarization and Information Extraction from Medical Documents), 33(2):139-155.
-
(2005)
Artificial Intelligence in Medicine (Special Issue on Summarization and Information Extraction from Medical Documents)
, vol.33
, Issue.2
, pp. 139-155
-
-
Bunescu, R1
Ge, R2
Kate, RJ3
Marcotte, EM4
Mooney, RJ5
Ramani, AK6
Wong, YW7
-
8
-
-
77953797578
-
Exploiting shallow linguistic information for relation extraction from biomedical literature
-
Trento, Italy
-
C Giuliano, A Lavelli, and L Romano. 2006. Exploiting shallow linguistic information for relation extraction from biomedical literature. In Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics (EACL'2006), pages 401-408, Trento, Italy.
-
(2006)
Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics (EACL'2006)
, pp. 401-408
-
-
Giuliano, C1
Lavelli, A2
Romano, L3
-
9
-
-
4944228528
-
-
Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan
-
CW Hsu, CC Chang, and CJ Lin, 2003. A practical guide to support vector classification. Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan.
-
(2003)
A practical guide to support vector classification
-
-
Hsu, CW1
Chang, CC2
Lin, CJ3
-
10
-
-
0002714543
-
Making large-scale support vector machine learning practical
-
MIT Press, Cambridge, MA, USA
-
T Joachims. 1999. Making large-scale support vector machine learning practical. In Advances in kernel methods: support vector learning, pages 169-184. MIT Press, Cambridge, MA, USA.
-
(1999)
Advances in kernel methods: support vector learning
, pp. 169-184
-
-
Joachims, T1
-
11
-
-
77951201715
-
Walk-weighted subsequence kernels for protein-protein interaction extraction
-
S Kim, J Yoon, J Yang, and S Park. 2010. Walk-weighted subsequence kernels for protein-protein interaction extraction. BMC Bioinformatics, 11(1).
-
(2010)
BMC Bioinformatics
, vol.11
, Issue.1
-
-
Kim, S1
Yoon, J2
Yang, J3
Park, S4
-
12
-
-
0041965869
-
Text classification using string kernels
-
March
-
H Lodhi, C Saunders, J Shawe-Taylor, N Cristianini, and C Watkins. 2002. Text classification using string kernels. Journal of Machine Learning Research, 2:419-444, March.
-
(2002)
Journal of Machine Learning Research
, vol.2
, pp. 419-444
-
-
Lodhi, H1
Saunders, C2
Shawe-Taylor, J3
Cristianini, N4
Watkins, C5
-
13
-
-
71549135535
-
Protein-protein interaction extraction by leveraging multiple kernels and parsers
-
M Miwa, R Sætre, Y Miyao, T Ohta, and J Tsujii. 2009. Protein-protein interaction extraction by leveraging multiple kernels and parsers. International Journal of Medical Informatics, 78.
-
(2009)
International Journal of Medical Informatics
, vol.78
-
-
Miwa, M1
Sætre, R2
Miyao, Y3
Ohta, T4
Tsujii, J5
-
15
-
-
33750333944
-
Efficient convolution kernels for dependency and constituent syntactic trees
-
Johannes Fürnkranz, Tobias Scheffer, and Myra Spiliopoulou, editors, pages Springer Berlin/Heidelberg
-
A Moschitti. 2006. Efficient convolution kernels for dependency and constituent syntactic trees. In Johannes Fürnkranz, Tobias Scheffer, and Myra Spiliopoulou, editors, Machine Learning: ECML 2006, volume 4212 of Lecture Notes in Computer Science, pages 318-329. Springer Berlin/Heidelberg.
-
(2006)
Machine Learning: ECML 2006, volume 4212 of Lecture Notes in Computer Science
, pp. 318-329
-
-
Moschitti, A1
-
17
-
-
80053401742
-
Convolution kernels on constituent, dependency and sequential structures for relation extraction
-
Singapore, August
-
TT Nguyen, A Moschitti, and G Riccardi. 2009. Convolution kernels on constituent, dependency and sequential structures for relation extraction. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP'2009), pages 1378-1387, Singapore, August.
-
(2009)
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP'2009)
, pp. 1378-1387
-
-
Nguyen, TT1
Moschitti, A2
Riccardi, G3
-
19
-
-
44649108373
-
Comparative analysis of five protein-protein interaction corpora
-
(Suppl 3)
-
S Pyysalo, A Airola, J Heimonen, J Björne, F Ginter, and T Salakoski. 2008. Comparative analysis of five protein-protein interaction corpora. BMC Bioinformatics, 9(Suppl 3):S6.
-
(2008)
BMC Bioinformatics
, vol.9
, pp. S6
-
-
Pyysalo, S1
Airola, A2
Heimonen, J3
Björne, J4
Ginter, F5
Salakoski, T6
-
22
-
-
78049245506
-
A Comprehensive Benchmark of Kernel Methods to Extract Protein-Protein Interactions from Literature
-
July
-
D Tikk, P Thomas, P Palaga, J Hakenberg, and U Leser. 2010. A Comprehensive Benchmark of Kernel Methods to Extract Protein-Protein Interactions from Literature. PLoS Computational Biology, 6(7), July.
-
(2010)
PLoS Computational Biology
, vol.6
, Issue.7
-
-
Tikk, D1
Thomas, P2
Palaga, P3
Hakenberg, J4
Leser, U5
-
25
-
-
33646008548
-
Discovering relations between named entities from a large raw corpus using tree similarity-based clustering
-
Robert Dale, Kam-Fai Wong, Jian Su, and Oi Yee Kwong, editors, pages Springer Berlin/Heidelberg
-
M Zhang, J Su, D Wang, G Zhou, and CL Tan. 2005. Discovering relations between named entities from a large raw corpus using tree similarity-based clustering. In Robert Dale, Kam-Fai Wong, Jian Su, and Oi Yee Kwong, editors, Natural Language Processing IJC-NLP 2005, volume 3651 of Lecture Notes in Computer Science, pages 378-389. Springer Berlin/Heidelberg.
-
(2005)
Natural Language Processing IJC-NLP 2005, volume 3651 of Lecture Notes in Computer Science
, pp. 378-389
-
-
Zhang, M1
Su, J2
Wang, D3
Zhou, G4
Tan, CL5
-
26
-
-
80053360686
-
Tree kernel-based relation extraction with context-sensitive structured parse tree information
-
June
-
GD Zhou, M Zhang, DH Ji, and QM Zhu. 2007. Tree kernel-based relation extraction with context-sensitive structured parse tree information. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 728-736, June.
-
(2007)
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)
, pp. 728-736
-
-
Zhou, GD1
Zhang, M2
Ji, DH3
Zhu, QM4
|