-
1
-
-
84994136218
-
Semeval-2012 task 6: A pilot on semantic textual similarity
-
Association for Computational Linguistics, Stroudsburg
-
Agirre, E., Diab, M., Cer, D., Gonzalez-Agirre, A.: Semeval-2012 task 6: a pilot on semantic textual similarity. In: Proceedings of the First Joint Conference on Lexical and Computational Semantics, SemEval 2012, pp. 385–393. Association for Computational Linguistics, Stroudsburg (2012). http://dl.acm.org/citation.cfm?id=2387636.2387697
-
(2012)
Proceedings of the First Joint Conference on Lexical and Computational Semantics, Semeval 2012
, pp. 385-393
-
-
Agirre, E.1
Diab, M.2
Cer, D.3
Gonzalez-Agirre, A.4
-
2
-
-
2942615739
-
Maximum likelihood estimation for the exponential power function parameters
-
Agro, G.: Maximum likelihood estimation for the exponential power function parameters. Commun. Stat.-Simul. Comput. 24(2), 523–536 (1995)
-
(1995)
Commun. Stat.-Simul. Comput
, vol.24
, Issue.2
, pp. 523-536
-
-
Agro, G.1
-
3
-
-
85007314681
-
UKP: Computing semantic textual similarity by combining multiple content similarity measures
-
Association for Computational Linguistics, Stroudsburg
-
Bär, D., Biemann, C., Gurevych, I., Zesch, T.: UKP: computing semantic textual similarity by combining multiple content similarity measures. In: Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the Main Conference and the Shared Task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation, SemEval 2012, pp. 435–440. Association for Computational Linguistics, Stroudsburg (2012). http://dl.acm.org/citation.cfm?id=2387636.2387707
-
(2012)
Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the Main Conference and the Shared Task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation, Semeval 2012
, pp. 435-440
-
-
Bär, D.1
Biemann, C.2
Gurevych, I.3
Zesch, T.4
-
4
-
-
84960103968
-
DKPro similarity: An open source framework for text similarity
-
Association for Computational Linguistics
-
Bär, D., Zesch, T., Gurevych, I.: DKPro similarity: an open source framework for text similarity. In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pp. 121–126. Association for Computational Linguistics (2013). http://aclweb.org/anthology/P13-4021
-
(2013)
Proceedings of the 51St Annual Meeting of the Association for Computational Linguistics: System Demonstrations
, pp. 121-126
-
-
Bär, D.1
Zesch, T.2
Gurevych, I.3
-
5
-
-
0142166851
-
A neural probabilistic language model
-
Bengio, Y., Ducharme, R., Vincent, P., Janvin, C.: A neural probabilistic language model. J. Mach. Learn. Res. 3, 1137–1155 (2003). http://dl.acm.org/citation.cfm?id=944919.944966
-
(2003)
J. Mach. Learn. Res
, vol.3
, pp. 1137-1155
-
-
Bengio, Y.1
Ducharme, R.2
Vincent, P.3
Janvin, C.4
-
6
-
-
85045114915
-
Question answering with subgraph embeddings
-
abs/1406.3676
-
Bordes, A., Chopra, S., Weston, J.: Question answering with subgraph embeddings. CoRR abs/1406.3676 (2014). http://arxiv.org/abs/1406.3676
-
(2014)
Corr
-
-
Bordes, A.1
Chopra, S.2
Weston, J.3
-
7
-
-
84898420173
-
The devil is in the details: An evaluation of recent feature encoding methods
-
Chatfield, K., Lempitsky, V., Vedaldi, A., Zisserman, A.: The devil is in the details: an evaluation of recent feature encoding methods. In: British Machine Vision Conference (2011)
-
(2011)
British Machine Vision Conference
-
-
Chatfield, K.1
Lempitsky, V.2
Vedaldi, A.3
Zisserman, A.4
-
8
-
-
56449095373
-
A unified architecture for natural language processing: Deep neural networks with multitask learning
-
ACM, New York
-
Collobert, R., Weston, J.: A unified architecture for natural language processing: deep neural networks with multitask learning. In: Proceedings of the 25th International Conference on Machine Learning, ICML 2008, pp. 160–167. ACM, New York (2008). http://doi.acm.org/10.1145/1390156.1390177
-
(2008)
Proceedings of the 25th International Conference on Machine Learning, ICML 2008
, pp. 160-167
-
-
Collobert, R.1
Weston, J.2
-
9
-
-
84906494626
-
Growing regression forests by classification: Applications to object pose estimation
-
In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.), Springer, Heidelberg
-
Hara, K., Chellappa, R.: Growing regression forests by classification: applications to object pose estimation. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part II. LNCS, vol. 8690, pp. 552–567. Springer, Heidelberg (2014)
-
(2014)
ECCV 2014, Part II. LNCS
, vol.8690
, pp. 552-567
-
-
Hara, K.1
Chellappa, R.2
-
10
-
-
0031167379
-
In defense of the eight-point algorithm
-
Hartley, R.: In defense of the eight-point algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 19(6), 580–593 (1997)
-
(1997)
IEEE Trans. Pattern Anal. Mach. Intell
, vol.19
, Issue.6
, pp. 580-593
-
-
Hartley, R.1
-
11
-
-
80054692769
-
Tree edit models for recognizing textual entailments, paraphrases, and answers to questions
-
ssociation for Computational Linguistics, Stroudsburg
-
Heilman, M., Smith, N.A.: Tree edit models for recognizing textual entailments, paraphrases, and answers to questions. In: Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, HLT 2010, pp. 1011–1019. Association for Computational Linguistics, Stroudsburg (2010). http://dl.acm.org/citation.cfm?id=1857999.1858143
-
(2010)
Human Language Technologies: The 2010 Annual Conference of The North American Chapter of The Association for Computational Linguistics, HLT 2010
, pp. 1011-1019
-
-
Heilman, M.1
Smith, N.A.2
-
12
-
-
84906494296
-
From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
-
Young, P., Lai, A., Hodosh, M., Hockenmaier, J.: From image descriptions to visual denotations: new similarity metrics for semantic inference over event descriptions. Trans. Assoc. Comput. Linguist. 2, 67–78 (2014)
-
(2014)
Trans. Assoc. Comput. Linguist
, vol.2
, pp. 67-78
-
-
Young, P.1
Lai, A.2
Hodosh, M.3
Hockenmaier, J.4
-
13
-
-
77956004473
-
Aggregating local descriptors into a compact image representation
-
June
-
Jégou, H., Douze, M., Schmid, C., Pérez, P.: Aggregating local descriptors into a compact image representation. In: Proceedings of the IEEE Conference on Computer Vision Pattern Recognition, pp. 3304–3311, June 2010. http://lear.inrialpes.fr/pubs/2010/JDSP10
-
(2010)
Proceedings of the IEEE Conference on Computer Vision Pattern Recognition
, pp. 3304-3311
-
-
Jégou, H.1
Douze, M.2
Schmid, C.3
Pérez, P.4
-
14
-
-
5044233274
-
Pca-sift: A more distinctive representation for local image descriptors
-
IEEE
-
Ke, Y., Sukthankar, R.: Pca-sift: a more distinctive representation for local image descriptors. In: Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004, CVPR 2004, vol. 2, p. 2-506. IEEE (2004)
-
(2004)
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004, CVPR 2004
, vol.2
, pp. 2-506
-
-
Ke, Y.1
Sukthankar, R.2
-
15
-
-
84926067654
-
Distributed representations of sentences and documents
-
Beijing, China, 21–26 June 2014. JMLR Proceedings, JMLR.org
-
Le, Q.V., Mikolov, T.: Distributed representations of sentences and documents. In: Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21–26 June 2014. JMLR Proceedings, vol. 32, pp. 1188–1196. JMLR.org (2014). http://jmlr.org/proceedings/papers/v32/le14.html
-
(2014)
Proceedings of the 31th International Conference on Machine Learning, ICML 2014
, vol.32
, pp. 1188-1196
-
-
Le, Q.V.1
Mikolov, T.2
-
16
-
-
84863895135
-
Independent component analysis: Theory and applications [book review]
-
Lee, T.W.: Independent component analysis: theory and applications [book review]. IEEE Trans. Neural Netw. 10(4), 982–982 (1999). http://dblp.uni-trier.de/db/journals/tnn/tnn10.html#Lee99a
-
(1999)
IEEE Trans. Neural Netw
, vol.10
, Issue.4
, pp. 982-983
-
-
Lee, T.W.1
-
17
-
-
84937861081
-
Neural word embedding as implicit matrix factorization
-
Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N., Weinberger, K. (eds.), Curran Associates, Inc
-
Levy, O., Goldberg, Y.: Neural word embedding as implicit matrix factorization. In: Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N., Weinberger, K. (eds.) Advances in Neural Information Processing Systems, vol. 27, pp. 2177–2185. Curran Associates, Inc. (2014). http://papers.nips.cc/paper/5477-neural-word-embedding-as-implicit-matrix-factorization.pdf
-
(2014)
Advances in Neural Information Processing Systems
, vol.27
, pp. 2177-2185
-
-
Levy, O.1
Goldberg, Y.2
-
18
-
-
85083951332
-
-
CoRR abs/1301.3781
-
Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. CoRR abs/1301.3781 (2013)
-
(2013)
Efficient Estimation of Word Representations in Vector Space
-
-
Mikolov, T.1
Chen, K.2
Corrado, G.3
Dean, J.4
-
19
-
-
84898956512
-
Distributed representations of words and phrases and their compositionality
-
Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Advances in Neural Information Processing Systems, pp. 3111–3119 (2013)
-
(2013)
Advances in Neural Information Processing Systems
, pp. 3111-3119
-
-
Mikolov, T.1
Sutskever, I.2
Chen, K.3
Corrado, G.S.4
Dean, J.5
-
20
-
-
34547970628
-
Three new graphical models for statistical language modelling
-
ACM, New York
-
Mnih, A., Hinton, G.: Three new graphical models for statistical language modelling. In: Proceedings of the 24th International Conference on Machine Learning, ICML 2007, pp. 641–648. ACM, New York (2007). http://doi.acm.org/10.1145/1273496.1273577
-
(2007)
Proceedings of the 24th International Conference on Machine Learning, ICML 2007
, pp. 641-648
-
-
Mnih, A.1
Hinton, G.2
-
21
-
-
84906510060
-
Action recognition with stacked fisher vectors
-
In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.), Springer, Heidelberg
-
Peng, X., Zou, C., Qiao, Y., Peng, Q.: Action recognition with stacked fisher vectors. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part V. LNCS, vol. 8693, pp. 581–595. Springer, Heidelberg (2014)
-
(2014)
ECCV 2014, Part V. LNCS
, vol.8693
, pp. 581-595
-
-
Peng, X.1
Zou, C.2
Qiao, Y.3
Peng, Q.4
-
22
-
-
34948815101
-
Fisher kernels on visual vocabularies for image categorization
-
IEEE
-
Perronnin, F., Dance, C.: Fisher kernels on visual vocabularies for image categorization. In: IEEE Conference on Computer Vision and Pattern Recognition, 2007, CVPR 2007, pp. 1–8. IEEE (2007)
-
(2007)
IEEE Conference on Computer Vision and Pattern Recognition, 2007, CVPR 2007
, pp. 1-8
-
-
Perronnin, F.1
Dance, C.2
-
23
-
-
77955992063
-
Large-scale image retrieval with compressed fisher vectors
-
IEEE
-
Perronnin, F., Liu, Y., Sánchez, J., Poirier, H.: Large-scale image retrieval with compressed fisher vectors. In: 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3384–3391. IEEE (2010)
-
(2010)
2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, pp. 3384-3391
-
-
Perronnin, F.1
Liu, Y.2
Sánchez, J.3
Poirier, H.4
-
24
-
-
78149348137
-
Improving the Fisher kernel for large-scale image classification
-
In: Daniilidis, K., Maragos, P., Paragios, N. (eds.), Springer, Heidelberg
-
Perronnin, F., Sánchez, J., Mensink, T.: Improving the Fisher kernel for large-scale image classification. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part IV. LNCS, vol. 6314, pp. 143–156. Springer, Heidelberg (2010)
-
(2010)
ECCV 2010, Part IV. LNCS
, vol.6314
, pp. 143-156
-
-
Perronnin, F.1
Sánchez, J.2
Mensink, T.3
-
25
-
-
84907378938
-
Align, disambiguate and walk: A unified approach for measuring semantic similarity
-
Long Papers, Association for Computational Linguistics
-
Pilehvar, T.M., Jurgens, D., Navigli, R.: Align, disambiguate and walk: a unified approach for measuring semantic similarity. In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (vol. 1: Long Papers), pp. 1341–1351. Association for Computational Linguistics (2013). http://aclweb.org/anthology/P13-1132
-
(2013)
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics
, vol.1
, pp. 1341-1351
-
-
Pilehvar, T.M.1
Jurgens, D.2
Navigli, R.3
-
26
-
-
84948766519
-
UoW: Multi-task learning gaussian process for semantic textual similarity
-
Association for Computational Linguistics and Dublin City University, Dublin, August
-
Rios, M., Specia, L.: UoW: multi-task learning gaussian process for semantic textual similarity. In: Proceedings of the 8th International Workshop on Semantic Evaluation, SemEval 2014, pp. 779–784. Association for Computational Linguistics and Dublin City University, Dublin, August 2014. http://www.aclweb.org/anthology/S14-2138
-
(2014)
Proceedings of the 8th International Workshop on Semantic Evaluation, Semeval 2014
, pp. 779-784
-
-
Rios, M.1
Specia, L.2
-
27
-
-
84883487458
-
Image classification with the fisher vector: Theory and practice
-
Sánchez, J., Perronnin, F., Mensink, T., Verbeek, J.: Image classification with the fisher vector: theory and practice. Int. J. Comput. Vis. 105(3), 222–245 (2013)
-
(2013)
Int. J. Comput. Vis
, vol.105
, Issue.3
, pp. 222-245
-
-
Sánchez, J.1
Perronnin, F.2
Mensink, T.3
Verbeek, J.4
-
28
-
-
84906925685
-
Automatic feature engineering for answer selection and extraction
-
ACL
-
Severyn, A., Moschitti, A.: Automatic feature engineering for answer selection and extraction. In: EMNLP, pp. 458–467. ACL (2013). http://dblp.uni-trier.de/db/conf/emnlp/emnlp2013.html#SeverynM13
-
(2013)
EMNLP
, pp. 458-467
-
-
Severyn, A.1
Moschitti, A.2
-
29
-
-
84898428370
-
Fisher vector faces in the wild
-
Simonyan, K., Parkhi, O.M., Vedaldi, A., Zisserman, A.: Fisher vector faces in the wild. In: Proceedings of BMVC, vol. 1, p. 7 (2013)
-
(2013)
Proceedings of BMVC
, vol.1
-
-
Simonyan, K.1
Parkhi, O.M.2
Vedaldi, A.3
Zisserman, A.4
-
30
-
-
33745938597
-
Discovering objects and their location in images
-
IEEE
-
Sivic, J., Russell, B.C., Efros, A.A., Zisserman, A., Freeman, W.T.: Discovering objects and their location in images. In: Tenth IEEE International Conference on Computer Vision, 2005, ICCV 2005, vol. 1, pp. 370–377. IEEE (2005)
-
(2005)
Tenth IEEE International Conference on Computer Vision, 2005, ICCV 2005
, vol.1
, pp. 370-377
-
-
Sivic, J.1
Russell, B.C.2
Efros, A.A.3
Zisserman, A.4
Freeman, W.T.5
-
31
-
-
80053438267
-
Parsing natural scenes and natural language with recursive neural networks
-
Socher, R., Lin, C.C., Ng, A.Y., Manning, C.D.: Parsing natural scenes and natural language with recursive neural networks. In: Proceedings of the 26th International Conference on Machine Learning (ICML) (2011)
-
(2011)
Proceedings of the 26th International Conference on Machine Learning (ICML)
-
-
Socher, R.1
Lin, C.C.2
Ng, A.Y.3
Manning, C.D.4
-
32
-
-
84926358845
-
Recursive deep models for semantic compositionality over a sentiment treebank
-
Association for Computational Linguistics, Seattle, October
-
Socher, R., Perelygin, A., Wu, J., Chuang, J., Manning, C.D., Ng, A., Potts, C.: Recursive deep models for semantic compositionality over a sentiment treebank. In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pp. 1631–1642. Association for Computational Linguistics, Seattle, October 2013. http://www.aclweb.org/anthology-new/D/D13/D13-1170.bib
-
(2013)
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing
, pp. 1631-1642
-
-
Socher, R.1
Perelygin, A.2
Wu, J.3
Chuang, J.4
Manning, C.D.5
Ng, A.6
Potts, C.7
-
33
-
-
80053495924
-
Word representations: A simple and general method for semi-supervised learning
-
Turian, J., Ratinov, L., Bengio, Y.: Word representations: a simple and general method for semi-supervised learning. In: ACL (2010). http://cogcomp.cs.illinois.edu/papers/TurianRaBe2010.pdf
-
(2010)
ACL
-
-
Turian, J.1
Ratinov, L.2
Bengio, Y.3
-
34
-
-
85040602162
-
Takelab: Systems for measuring semantic text similarity
-
Association for Computational Linguistics, Stroudsburg
-
Šarić, F., Glavaš, G., Karan, M., Šnajder, J., Bašić, B.D.: Takelab: systems for measuring semantic text similarity. In: Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the Main Conference and the Shared Task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation, SemEval 2012, pp. 441–448. Association for Computational Linguistics, Stroudsburg (2012). http://dl.acm.org/citation.cfm?id=2387636.2387708
-
(2012)
Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the Main Conference and the Shared Task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation, Semeval 2012
, pp. 441-448
-
-
Šarić, F.1
Glavaš, G.2
Karan, M.3
Šnajder, J.4
Bašić, B.D.5
-
35
-
-
80053434997
-
Probabilistic tree-edit models with structured latent variables for textual entailment and question answering
-
Association for Computational Linguistics, Stroudsburg
-
Wang, M., Manning, C.D.: Probabilistic tree-edit models with structured latent variables for textual entailment and question answering. In: Proceedings of the 23rd International Conference on Computational Linguistics, COLING 2010, pp. 1164–1172. Association for Computational Linguistics, Stroudsburg (2010). http://dl.acm.org/citation.cfm?id=1873781.1873912
-
(2010)
Proceedings of the 23rd International Conference on Computational Linguistics, COLING 2010
, pp. 1164-1172
-
-
Wang, M.1
Manning, C.D.2
-
36
-
-
80053356836
-
What is the jeopardy model? A quasisynchronous grammar for qa
-
Association for Computational Linguistics, Prague, June
-
Wang, M., Smith, N.A., Mitamura, T.: What is the jeopardy model? a quasisynchronous grammar for qa. In: Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pp. 22–32. Association for Computational Linguistics, Prague, June 2007. http://www.aclweb.org/anthology/D07-1003
-
(2007)
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (Emnlp-Conll)
, pp. 22-32
-
-
Wang, M.1
Smith, N.A.2
Mitamura, T.3
-
37
-
-
0026692226
-
Stacked generalization
-
Wolpert, D.H.: Stacked generalization. Neural Netw. 5(2), 241–259 (1992). http://dx.doi.org/10.1016/S0893-6080(05)80023–1
-
(1992)
Neural Netw
, vol.5
, Issue.2
, pp. 241-259
-
-
Wolpert, D.H.1
-
38
-
-
84916213998
-
Answer extraction as sequence tagging with tree edit distance
-
Association for Computational Linguistics, Atlanta, June
-
Yao, X., Van Durme, B., Callison-Burch, C., Clark, P.: Answer extraction as sequence tagging with tree edit distance. In: Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 858–867. Association for Computational Linguistics, Atlanta, June 2013. http://www.aclweb.org/anthology/N13-1106
-
(2013)
Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
, pp. 858-867
-
-
Yao, X.1
Van Durme, B.2
Callison-Burch, C.3
Clark, P.4
-
39
-
-
84904549928
-
Question answering using enhanced lexical semantic models
-
August
-
tau Yih, W., Chang, M.W., Meek, C., Pastusiak, A.: Question answering using enhanced lexical semantic models. In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics. ACL Association for Computational Linguistics, August 2013. http://research.microsoft.com/apps/pubs/default.aspx?id=192357
-
(2013)
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics. ACL Association for Computational Linguistics
-
-
Tau Yih, W.1
Chang, M.W.2
Meek, C.3
Pastusiak, A.4
-
40
-
-
84943796990
-
Deep learning for answer sentence selection
-
December
-
Yu, L., Hermann, K.M., Blunsom, P., Pulman, S.: Deep learning for answer sentence selection. In: NIPS Deep Learning Workshop, December 2014. http://arxiv.org/abs/1412.1632
-
(2014)
NIPS Deep Learning Workshop
-
-
Yu, L.1
Hermann, K.M.2
Blunsom, P.3
Pulman, S.4
|