-
1
-
-
84858732366
-
Polynomial semantic indexing
-
Bai, B.; Weston, J.; Grangier, D.; Collobert, R.; Sadamasa, K.; Qi, Y.; Cortes, C; and Mohri, M. 2009. Polynomial semantic indexing. In NIPS, 64-72.
-
(2009)
NIPS
, pp. 64-72
-
-
Bai, B.1
Weston, J.2
Grangier, D.3
Collobert, R.4
Sadamasa, K.5
Qi, Y.6
Cortes, C.7
Mohri, M.8
-
2
-
-
78650686637
-
Distributional memory: A general framework for corpus-based semantics
-
Baroni, M., and Lenci, A. 2010. Distributional memory: A general framework for corpus-based semantics. Computational Linguistics 36(4):673-721.
-
(2010)
Computational Linguistics
, vol.36
, Issue.4
, pp. 673-721
-
-
Baroni, M.1
Lenci, A.2
-
3
-
-
80053232678
-
Nouns are vectors, adjectives are matrices: Representing adjective-noun constructions in semantic space
-
Association for Computational Linguistics
-
Baroni, M., and Zamparelli, R. 2010. Nouns are vectors, adjectives are matrices: Representing adjective-noun constructions in semantic space. In Proceedings of EMNLP, 1183-1193. Association for Computational Linguistics.
-
(2010)
Proceedings of EMNLP
, pp. 1183-1193
-
-
Baroni, M.1
Zamparelli, R.2
-
4
-
-
84870673011
-
A comparison of vector-based representations for semantic composition
-
Association for Computational Linguistics
-
Blacoe, W., and Lapata, M. 2012. A comparison of vector-based representations for semantic composition. In Proceedings of EMNLP, 546-556. Association for Computational Linguistics.
-
(2012)
Proceedings of EMNLP
, pp. 546-556
-
-
Blacoe, W.1
Lapata, M.2
-
5
-
-
70449371517
-
On the tensor SVD and the optimal low rank orthogonal approximation of tensors
-
Chen, J., and Saad, Y 2009. On the tensor svd and the optimal low rank orthogonal approximation of tensors. SIAM Journal on Matrix Analysis and Applications 30(4): 1709-1734.
-
(2009)
SIAM Journal on Matrix Analysis and Applications
, vol.30
, Issue.4
, pp. 1709-1734
-
-
Chen, J.1
Saad, Y.2
-
8
-
-
84856190967
-
A context-theoretic framework for compo-sitionality in distributional semantics
-
Clarke, D. 2012. A context-theoretic framework for compo-sitionality in distributional semantics. Computational Linguistics 38(1):41-71.
-
(2012)
Computational Linguistics
, vol.38
, Issue.1
, pp. 41-71
-
-
Clarke, D.1
-
9
-
-
84926347057
-
Mathematical foundations for a compositional distributional model of meaning
-
abs/1003.4394
-
Coecke, B.; Sadrzadeh, M.; and Clark, S. 2010. Mathematical foundations for a compositional distributional model of meaning. CoRR abs/1003.4394.
-
(2010)
CoRR
-
-
Coecke, B.1
Sadrzadeh, M.2
Clark, S.3
-
11
-
-
80053377616
-
A structured vector space model for word meaning in context
-
Association for Computational Linguistics
-
Erk, K., and Padó, S. 2008. A structured vector space model for word meaning in context. In Proceedings of EMNLP, 897-906. Association for Computational Linguistics.
-
(2008)
Proceedings of EMNLP
, pp. 897-906
-
-
Erk, K.1
Padó, S.2
-
12
-
-
80053235817
-
Experimental support for a categorical compositional distributional model of meaning
-
Association for Computational Linguistics
-
Grefenstette, E., and Sadrzadeh, M. 2011. Experimental support for a categorical compositional distributional model of meaning. In Proceedings of EMNLP, 1394-1404. Association for Computational Linguistics.
-
(2011)
Proceedings of EMNLP
, pp. 1394-1404
-
-
Grefenstette, E.1
Sadrzadeh, M.2
-
13
-
-
84943741021
-
Multi-step regression learning for compositional distributional semantics
-
Grefenstette, E.; Dinu, G.; Zhang, Y.-Z.; Sadrzadeh, M.; and Baroni, M. 2013. Multi-step regression learning for compositional distributional semantics. IWCS.
-
(2013)
IWCS
-
-
Grefenstette, E.1
Dinu, G.2
Zhang, Y.-Z.3
Sadrzadeh, M.4
Baroni, M.5
-
14
-
-
84859023447
-
Learning word vectors for sentiment analysis
-
Association for Computational Linguistics
-
Maas, A. L.; Daly, R. E.; Pham. P. T.; Huang, D.; Ng, A. Y; and Potts, C. 2011. Learning word vectors for sentiment analysis. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies-Volume 1, 142-150. Association for Computational Linguistics.
-
(2011)
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies
, vol.1
, pp. 142-150
-
-
Maas, A.L.1
Daly, R.E.2
Pham, P.T.3
Huang, D.4
Ng, A.Y.5
Potts, C.6
-
15
-
-
84977872928
-
Semeval-2014 task 1: Evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment
-
Marcili, M.; Bentivogli, L.; Baroni, M.; Bernardi, R.; Menini, S.; and Zamparelli, R. 2014. Semeval-2014 task 1: Evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment. SemEval-2014.
-
(2014)
SemEval-2014
-
-
Marcili, M.1
Bentivogli, L.2
Baroni, M.3
Bernardi, R.4
Menini, S.5
Zamparelli, R.6
-
17
-
-
84926179397
-
Linguistic regularities in continuous space word representations
-
Mikolov, T.; Yih, W.-t.; and Zweig, G. 2013. Linguistic regularities in continuous space word representations. In Proceedings of NAACL-HLT, 746-751.
-
(2013)
Proceedings of NAACL-HLT
, pp. 746-751
-
-
Mikolov, T.1
Yih, W.-T.2
Zweig, G.3
-
18
-
-
80053288309
-
Composition in distributional models of semantics
-
Mitchell, J., and Lapata, M. 2010. Composition in distributional models of semantics. Cognitive science 34(8).T388-1429.
-
(2010)
Cognitive Science
, vol.34
, Issue.8
, pp. T388-1429
-
-
Mitchell, J.1
Lapata, M.2
-
19
-
-
85162476102
-
Dynamic pooling and unfolding recursive autoencoders for paraphrase detection
-
Socher, R.; Huang, E. H.; Pennington, J.; Ng, A. Y.; and Manning, C. D. 2011a. Dynamic pooling and unfolding recursive autoencoders for paraphrase detection. In NIPS, volume 24, 801-809.
-
(2011)
NIPS
, vol.24
, pp. 801-809
-
-
Socher, R.1
Huang, E.H.2
Pennington, J.3
Ng, A.Y.4
Manning, C.D.5
-
20
-
-
80053261327
-
Semi-supervised recursive autoencoders for predicting sentiment distributions
-
Association for Computational Linguistics
-
Socher, R.; Pennington, J.; Huang, E. H.; Ng, A. Y; and Manning, C. D. 2011b. Semi-supervised recursive autoencoders for predicting sentiment distributions. In Proceedings of EMNLP, 151-161. Association for Computational Linguistics.
-
(2011)
Proceedings of EMNLP
, pp. 151-161
-
-
Socher, R.1
Pennington, J.2
Huang, E.H.3
Ng, A.Y.4
Manning, C.D.5
-
23
-
-
84898956227
-
Reasoning with neural tensor networks for knowledge base completion
-
Socher, R.; Chen, D.; Manning, C. D.; and Ng, A. 2013b. Reasoning with neural tensor networks for knowledge base completion. In Proceedings of NIPS, 926-934.
-
(2013)
Proceedings of NIPS
, pp. 926-934
-
-
Socher, R.1
Chen, D.2
Manning, C.D.3
Ng, A.4
-
24
-
-
84926358845
-
Recursive deep models for semantic compositionality over a sentiment treebank
-
Socher, R.; Perelygin, A.; Wu, J. Y; Chuang, J.; Manning, C. D.; Ng, A. Y; and Potts, C. 2013c. Recursive deep models for semantic compositionality over a sentiment treebank. In Proceedings of EMNLP, 1631-1642.
-
(2013)
Proceedings of EMNLP
, pp. 1631-1642
-
-
Socher, R.1
Perelygin, A.2
Wu, J.Y.3
Chuang, J.4
Manning, C.D.5
Ng, A.Y.6
Potts, C.7
-
25
-
-
84983470508
-
Feature-rich part-of-speech tagging with a cyclic dependency network
-
Toutanova, K.; Klein, D.; Manning, C. D.; and Singer, Y. 2003. Feature-rich part-of-speech tagging with a cyclic dependency network. In Proceedings of ACL-HLT, 173-180.
-
(2003)
Proceedings of ACL-HLT
, pp. 173-180
-
-
Toutanova, K.1
Klein, D.2
Manning, C.D.3
Singer, Y.4
-
26
-
-
77952700189
-
From frequency to meaning: Vector space models of semantics
-
Turney, P., and Pantel, P. 2010. From frequency to meaning: Vector space models of semantics. Journal of artificial intelligence research 37(1): 141-188.
-
(2010)
Journal of Artificial Intelligence Research
, vol.37
, Issue.1
, pp. 141-188
-
-
Turney, P.1
Pantel, P.2
-
27
-
-
80053240499
-
Compositional matrix-space models for sentiment analysis
-
Yessenalina, A., and Cardie, C. 2011. Compositional matrix-space models for sentiment analysis. In Proceedings of EMNLP, 172-182.
-
(2011)
Proceedings of EMNLP
, pp. 172-182
-
-
Yessenalina, A.1
Cardie, C.2
-
28
-
-
80053408124
-
Estimating linear models for compositional distributional semantics
-
Zanzotto, F. M.; Korkontzelos, I.; Fallucchi, E; and Man-andhar, S. 2010. Estimating linear models for compositional distributional semantics. In Proceedings of the 23rd International Conference on Computational Linguistics, 1263-1271.
-
(2010)
Proceedings of the 23rd International Conference on Computational Linguistics
, pp. 1263-1271
-
-
Zanzotto, F.M.1
Korkontzelos, I.2
Fallucchi, E.3
Man-Andhar, S.4
|