1. 2014/10/16 PFIVZX^
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Generative Lexicon (GL)

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8. The Generative Lexicon [Pustejovsky95]
! James PustejovskyĀdž
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http://www.cs.brandeis.edu/~jamesp/

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! James Pustejovsky, Introduction to
Generative Lexicon. [Pustejovsky05]
! ě„ƲëGenerative Lexicon:NjÇ [ě„
06]
76

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begin

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35. cf. ƿǏ:ŝģŶ
double x =

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47. Statistical Semantics:#J
Statistical Semantics is the study of how the
statistical patterns of human word usage can be
used to figure out what people mean, at least to
a level sufficient for information access”(ACL
wiki)
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49. 9;

50. —ÐŇǖĦ5Statistical Semantics:¨Ē
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51. Principle of compositionality (Frege1892]
… the meaning of a complex expression is determined by
the meanings of its constituent expressions and the rules
used to combine them (wikipedia

52. )

53. 9=

54. ·Š#Q:{SgA5A03L
https://speakerdeck.com/mamoruk/a-tensor-based-factorization-model-of-semantic-compositionality
9

55. ¿ÓrWf}:Ð;ĵ%ĕIKƻĕķ
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56. Statistical Semantics5:¨Ē
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57. Êů:ÐP‹ƚ4¿Ó'L (MV-RNN) [Socher
+12]
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58. GGd€_}. [Cruys+13]
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59. Dynamic Convolutional Neural Network
[Kalchbrenner+14]
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60. :9

61. ƇőCNN5compositionality
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Layer5
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62. åŇĭ¸;ĸÔņ
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67. ęÐP¿ÓrWf}85K!C [Tsubaki+13]
companyM
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LOQ
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71. ;6

72. ƓƢK5$A%-
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73. ħăđƫ (1/3)
! [Pustejovsky95] James Pustejovsky.
The Generative Lexicon. MIT Press.
! [·¦05] ·¦ǍƆ.
(4+$. N%ˆư
! [Pustejovsky05] James Pustejovsky.
Introduction to Generative Lexicon. Foundations of
SemanticsƩĺ´ē.
http://www.cs.brandeis.edu/~jamesp/classes/LING130/
! [ě„06] ě„Ʋë.
Generative Lexicon2. Ɛ:ğ†NJ̓:ŏÌƈ
;8

74. ħăđƫ(2/3)
! [Cimiano+07] Philipp Cimiano, Johanna Wenderoth.
Automatic Acquisition of Ranked Qualia Structures from the
Web. ACL2007
! [ĻŖ+12] ĻŖ˜ƨ, ·Šť, ě„Ʋë.
(4$
(!')

75. .
0. NLP2012.
! [Mitchell+08] Jeff Mitchell, Mirella Lapata.
Vector-based Models of Semantic Composition. ACL2008.
! [Socher+12] Richard Socher, Brody Huval, Christopher D.
Manning, Andrew Y. Ng.
Semantic Compositionality through Recursive Matrix-Vector
Spaces. EMNLP2012.
;9

76. ħăđƫ(3/3)
! [Cruys+13] Tim Van de Cruys, Thierry Poibeau, Anna Korhonen.
A Tensor-based Factorization Model of Semantic
Compositionality. NAACL2013.
! [Kalchbrenner+14] Nal Kalchbrenner, Edward Grefenstette, Phil
Blunsom.
A Convolutional Neural Network for Modelling Sentences.
ACL2014.
! [Zelier+14] Matthew D. Zeiler, Rob Fergus.
Visualizing and Understanding Convolutional Networks.
ECCV2014.
! [Tsubaki+13] Masashi Tsubaki, Kevin Duh, Masashi Shimbo,
Yuji Matsumoto.
Modeling and Learning Semantic Co-Compositionality through
Prototype Projections and Neural Networks. EMNLP2013
;: