-
1
-
-
80052896774
-
A Graph Kernel for Protein-Protein Interaction Extraction
-
ACL
-
Airola A, Pyysalo S, Björne J, Pahikkala T, Ginter F, Salakoski T. A Graph Kernel for Protein-Protein Interaction Extraction. Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing 2008, ACL.
-
(2008)
Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
-
-
Airola, A.1
Pyysalo, S.2
Björne, J.3
Pahikkala, T.4
Ginter, F.5
Salakoski, T.6
-
2
-
-
84864058992
-
Subsequence Kernels for Relation Extraction
-
Bunescu RC, Mooney RJ. Subsequence Kernels for Relation Extraction. NIPS 2005, , http://www.cs.utexas.edu/users/ml/papers/erk-nips-05.pdf
-
(2005)
NIPS
-
-
Bunescu, R.C.1
Mooney, R.J.2
-
3
-
-
33847294345
-
RelEx - relation extraction using dependency parse trees
-
Fundel K, Küffner R, Zimmer R. RelEx - relation extraction using dependency parse trees. Bioinformatics 2007, 23(3):365-371.
-
(2007)
Bioinformatics
, vol.23
, Issue.3
, pp. 365-371
-
-
Fundel, K.1
Küffner, R.2
Zimmer, R.3
-
6
-
-
37549050918
-
Kernel approaches for genic interaction extraction
-
Kim S, Yoon J, Yang J. Kernel approaches for genic interaction extraction. Bioinformatics 2008, 24:118-126.
-
(2008)
Bioinformatics
, vol.24
, pp. 118-126
-
-
Kim, S.1
Yoon, J.2
Yang, J.3
-
7
-
-
84879903816
-
Syntactic Features for Protein-Protein Interaction Extraction
-
Baker CJO, Su J
-
Saetre R, Sagae K, Tsujii J. Syntactic Features for Protein-Protein Interaction Extraction. LBM (Short Papers), of CEUR Workshop Proceedings. CEUR-WS.org 2007, 319. Baker CJO, Su J.
-
(2007)
LBM (Short Papers), of CEUR Workshop Proceedings. CEUR-WS.org
, vol.319
-
-
Saetre, R.1
Sagae, K.2
Tsujii, J.3
-
10
-
-
80053355333
-
Automatic Construction of Predicate-argument Structure Patterns for Biomedical Information Extraction
-
ACL
-
Yakushiji A, Miyao Y, Ohta T, Tateisi Y, Tsujii J. Automatic Construction of Predicate-argument Structure Patterns for Biomedical Information Extraction. Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing 2006, 284-292. ACL.
-
(2006)
Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
, pp. 284-292
-
-
Yakushiji, A.1
Miyao, Y.2
Ohta, T.3
Tateisi, Y.4
Tsujii, J.5
-
11
-
-
16244423656
-
Comparative experiments on learning information extractors for proteins and their interactions
-
Bunescu R, Ge R, Kate RJ, Marcotte EM, Mooney RJ, Ramani AK, Wong YW. Comparative experiments on learning information extractors for proteins and their interactions. Artificial Intelligence in Medicine 2005, 33(2):139-155.
-
(2005)
Artificial Intelligence in Medicine
, vol.33
, Issue.2
, pp. 139-155
-
-
Bunescu, R.1
Ge, R.2
Kate, R.J.3
Marcotte, E.M.4
Mooney, R.J.5
Ramani, A.K.6
Wong, Y.W.7
-
12
-
-
33847608309
-
BioInfer: A Corpus for Information Extraction in the Biomedical Domain
-
1808065, 17291334
-
Pyysalo S, Ginter F, Heimonen J, Björne J, Boberg J, Järvinen J, Salakoski T. BioInfer: A Corpus for Information Extraction in the Biomedical Domain. BMC Bioinformatics 2007, 8:50. 1808065, 17291334.
-
(2007)
BMC Bioinformatics
, vol.8
, pp. 50
-
-
Pyysalo, S.1
Ginter, F.2
Heimonen, J.3
Björne, J.4
Boberg, J.5
Järvinen, J.6
Salakoski, T.7
-
14
-
-
0036371537
-
Mining MEDLINE: Abstracts, Sentences, or Phrases?
-
Ding J, Berleant D, Nettleton D, Wurtele ES. Mining MEDLINE: Abstracts, Sentences, or Phrases?. Pacific Symposium on Biocomputing 2002, 326-337.
-
(2002)
Pacific Symposium on Biocomputing
, pp. 326-337
-
-
Ding, J.1
Berleant, D.2
Nettleton, D.3
Wurtele, E.S.4
-
15
-
-
47249100727
-
DEEPER: A Full Parsing Based Approach to Protein Relation Extraction
-
Springer, Marchiori E, Moore JH
-
Fayruzov T, De Cock M, Cornelis C, Hoste V. DEEPER: A Full Parsing Based Approach to Protein Relation Extraction. EvoBIO, of Lecture Notes in Computer Science 2008, 4973:36-47. Springer, Marchiori E, Moore JH.
-
(2008)
EvoBIO, of Lecture Notes in Computer Science
, vol.4973
, pp. 36-47
-
-
Fayruzov, T.1
De Cock, M.2
Cornelis, C.3
Hoste, V.4
-
16
-
-
35748932917
-
A review of feature selection techniques in bioinformatics
-
Saeys Y, Inza I, Larrañaga P. A review of feature selection techniques in bioinformatics. Bioinformatics 2007, 23(19):2507-2517.
-
(2007)
Bioinformatics
, vol.23
, Issue.19
, pp. 2507-2517
-
-
Saeys, Y.1
Inza, I.2
Larrañaga, P.3
-
17
-
-
34547683741
-
PubMiner: Machine Learning-based Text Mining for Biomedical Information Analysis
-
Eom JH, Zhang BT. PubMiner: Machine Learning-based Text Mining for Biomedical Information Analysis. Genomics & Informatics 2004, 2(2):99-106.
-
(2004)
Genomics & Informatics
, vol.2
, Issue.2
, pp. 99-106
-
-
Eom, J.H.1
Zhang, B.T.2
-
18
-
-
34249753618
-
Support-Vector Networks
-
Cortes C, Vapnik V. Support-Vector Networks. Machine Learning 1995, 20(3):273-297.
-
(1995)
Machine Learning
, vol.20
, Issue.3
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
19
-
-
0003408420
-
-
The MIT Press
-
Schölkopf B, Smola AJ. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning) 2001, The MIT Press.
-
(2001)
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)
-
-
Schölkopf, B.1
Smola, A.J.2
-
20
-
-
1942419006
-
Convolution Kernels for Natural Language
-
MIT Press, Dietterich TG, Becker S, Ghahramani Z
-
Collins M, Duffy N. Convolution Kernels for Natural Language. Advances in Neural Information Processing Systems 14 2001, 625-632. MIT Press, Dietterich TG, Becker S, Ghahramani Z.
-
(2001)
Advances in Neural Information Processing Systems 14
, pp. 625-632
-
-
Collins, M.1
Duffy, N.2
-
22
-
-
0004019973
-
Convolution Kernels on Discrete Structures. Technical Report UCS-CRL-99-10
-
UC Santa Cruz
-
Haussler D. Convolution Kernels on Discrete Structures. Technical Report UCS-CRL-99-10. Tech rep 1999, UC Santa Cruz.
-
(1999)
Tech rep
-
-
Haussler, D.1
-
23
-
-
34547975798
-
Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees
-
Springer, Berlin
-
Moschitti A. Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees. ECML 2006, Springer, Berlin.
-
(2006)
ECML
-
-
Moschitti, A.1
-
24
-
-
70349229767
-
The role of syntactic features in protein interaction extraction
-
Fayruzov T, Cock MD, Cornelis C, Hoste V. The role of syntactic features in protein interaction extraction. DTMBIO 2008, 61-68.
-
(2008)
DTMBIO
, pp. 61-68
-
-
Fayruzov, T.1
Cock, M.D.2
Cornelis, C.3
Hoste, V.4
-
25
-
-
76649087495
-
The Stanford Parser: A statistical parser
-
The Stanford Parser: A statistical parser. , http://nlp.stanford.edu/software/lex-parser.shtml
-
-
-
-
26
-
-
84948481845
-
An algorithm for suffix stripping
-
Porter MF. An algorithm for suffix stripping. Program 1980, 14(3):130-137.
-
(1980)
Program
, vol.14
, Issue.3
, pp. 130-137
-
-
Porter, M.F.1
-
27
-
-
44649108373
-
Comparative Analysis of Five Protein-protein Interaction Corpora
-
Pyysalo S, Airola A, Heimonen J, Björne J, Ginter F, Salakoski T. Comparative Analysis of Five Protein-protein Interaction Corpora. BMC Bioinformatics, special issue 2008, 9(Suppl 3):S6.
-
(2008)
BMC Bioinformatics, special issue
, vol.9
, Issue.SUPPL. 3
-
-
Pyysalo, S.1
Airola, A.2
Heimonen, J.3
Björne, J.4
Ginter, F.5
Salakoski, T.6
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