Compositional Distributional Models of Meaning

Mehrnoosh Sadrzadeh, Dimitri Kartsaklis


Abstract
Compositional distributional models of meaning (CDMs) provide a function that produces a vectorial representation for a phrase or a sentence by composing the vectors of its words. Being the natural evolution of the traditional and well-studied distributional models at the word level, CDMs are steadily evolving to a popular and active area of NLP. This COLING 2016 tutorial aims at providing a concise introduction to this emerging field, presenting the different classes of CDMs and the various issues related to them in sufficient detail.
Anthology ID:
C16-3001
Volume:
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts
Month:
December
Year:
2016
Address:
Osaka, Japan
Editors:
Marcello Federico, Akiko Aizawa
Venue:
COLING
SIG:
Publisher:
The COLING 2016 Organizing Committee
Note:
Pages:
1–4
Language:
URL:
https://aclanthology.org/C16-3001
DOI:
Bibkey:
Cite (ACL):
Mehrnoosh Sadrzadeh and Dimitri Kartsaklis. 2016. Compositional Distributional Models of Meaning. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts, pages 1–4, Osaka, Japan. The COLING 2016 Organizing Committee.
Cite (Informal):
Compositional Distributional Models of Meaning (Sadrzadeh & Kartsaklis, COLING 2016)
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PDF:
https://aclanthology.org/C16-3001.pdf