-
6
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
Chris Burges. 1998. A tutorial on support vector machines for pattern recognition. Data mining and knowledge discovery.
-
(1998)
Data Mining and Knowledge Discovery
-
-
Burges, C.1
-
7
-
-
84866866270
-
Semafor: Frame argument resolution with log-linear models
-
Uppsala, Sweden, July. Association for Computational Linguistics
-
Desai Chen, Nathan Schneider, Dipanjan Das, and Noah A. Smith. 2010. Semafor: Frame argument resolution with log-linear models. In Proceedings of the 5th International Workshop on Semantic Evaluation, pages 264-267, Uppsala, Sweden, July. Association for Computational Linguistics.
-
(2010)
th International Workshop on Semantic Evaluation
, pp. 264-267
-
-
Chen, D.1
Schneider, N.2
Das, D.3
Smith, N.A.4
-
8
-
-
33646057547
-
New ranking algorithms for parsing and tagging: Kernels over discrete structures, and the voted perceptron
-
Association for Computational Linguistics
-
Michael Collins and Nigel Duffy. 2002. New ranking algorithms for parsing and tagging: Kernels over discrete structures, and the voted perceptron. In Proceedings of the 40th annual meeting on association for computational linguistics, pages 263-270. Association for Computational Linguistics.
-
(2002)
th Annual Meeting on Association for Computational Linguistics
, pp. 263-270
-
-
Collins, M.1
Duffy, N.2
-
9
-
-
85144480129
-
Dependency tree kernels for relation extraction
-
Main Volume, Barcelona, Spain, July
-
Aron Culotta and Jeffrey Sorensen. 2004. Dependency tree kernels for relation extraction. In Proceedings of the 42nd Meeting of the Association for Computational Linguistics (ACL'04), Main Volume, pages 423-429, Barcelona, Spain, July.
-
(2004)
nd Meeting of the Association for Computational Linguistics (ACL'04)
, pp. 423-429
-
-
Culotta, A.1
Sorensen, J.2
-
15
-
-
85140744814
-
Combining lexical, syntactic, and semantic features with maximum entropy models for extracting relations
-
Association for Computational Linguistics
-
Nanda Kambhatla. 2004. Combining lexical, syntactic, and semantic features with maximum entropy models for extracting relations. In Proceedings of the ACL 2004 on Interactive poster and demonstration sessions, page 22. Association for Computational Linguistics.
-
(2004)
Proceedings of the ACL 2004 on Interactive Poster and Demonstration Sessions
, pp. 22
-
-
Kambhatla, N.1
-
17
-
-
34547975798
-
Efficient convolution kernels for dependency and constituent syntactic trees
-
Alessandro Moschitti. 2006. Efficient convolution kernels for dependency and constituent syntactic trees. In Proceedings of the 17th European Conference on Machine Learning.
-
(2006)
th European Conference on Machine Learning
-
-
Moschitti, A.1
-
19
-
-
84907345507
-
Embedding semantic similarity in tree kernels for domain adaptation of relation extraction
-
Long Papers), Sofia, Bulgaria, August. Association for Computational Linguistics
-
Barbara Plank and Alessandro Moschitti. 2013. Embedding semantic similarity in tree kernels for domain adaptation of relation extraction. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1498-1507, Sofia, Bulgaria, August. Association for Computational Linguistics.
-
(2013)
stAnnual Meeting of the Association for Computational Linguistics
, vol.1
, pp. 1498-1507
-
-
Plank, B.1
Moschitti, A.2
-
20
-
-
77951950367
-
Graph kernels
-
SVN Vishwanathan, Nicol N Schraudolph, Risi Kondor, and Karsten M Borgwardt. 2010. Graph kernels. The Journal of Machine Learning Research, 11:1201-1242.
-
(2010)
The Journal of Machine Learning Research
, vol.11
, pp. 1201-1242
-
-
Vishwanathan, S.V.N.1
Schraudolph, N.N.2
Kondor, R.3
Borgwardt, K.M.4
-
22
-
-
84859917836
-
Extracting relations with integrated information using kernel methods
-
Shubin Zhao and Ralph Grishman. 2005. Extracting relations with integrated information using kernel methods. In Proceedings of the 43rd Meeting of the ACL.
-
(2005)
rd Meeting of the ACL
-
-
Zhao, S.1
Grishman, R.2
|