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
- Venue:
- COLING
- SIG:
- Publisher:
- The COLING 2016 Organizing Committee
- Note:
- Pages:
- 1–4
- Language:
- URL:
- https://aclanthology.org/C16-3001
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/C16-3001.pdf