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
! [Pustejovsky95] James Pustejovsky.
The Generative Lexicon. MIT Press.
! [·¦05] ·¦ǍƆ.
! [Pustejovsky05] James Pustejovsky.
Introduction to Generative Lexicon. Foundations of
! [ě06] ěƲë.
Generative Lexicon2. Ɛ:ğǊÍ:ŏÌƈ
! [Cimiano+07] Philipp Cimiano, Johanna Wenderoth.
Automatic Acquisition of Ranked Qualia Structures from the
! [ĻŖ+12] ĻŖƨ, ·ť, ěƲë.
! [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
! [Cruys+13] Tim Van de Cruys, Thierry Poibeau, Anna Korhonen.
A Tensor-based Factorization Model of Semantic
! [Kalchbrenner+14] Nal Kalchbrenner, Edward Grefenstette, Phil
A Convolutional Neural Network for Modelling Sentences.
! [Zelier+14] Matthew D. Zeiler, Rob Fergus.
Visualizing and Understanding Convolutional Networks.
! [Tsubaki+13] Masashi Tsubaki, Kevin Duh, Masashi Shimbo,
Modeling and Learning Semantic Co-Compositionality through
Prototype Projections and Neural Networks. EMNLP2013