On the Correlation of Word Embedding Evaluation Metrics
François Torregrossa, Vincent Claveau, Nihel Kooli, Guillaume Gravier, Robin Allesiardo
Abstract
Word embeddings intervene in a wide range of natural language processing tasks. These geometrical representations are easy to manipulate for automatic systems. Therefore, they quickly invaded all areas of language processing. While they surpass all predecessors, it is still not straightforward why and how they do so. In this article, we propose to investigate all kind of evaluation metrics on various datasets in order to discover how they correlate with each other. Those correlations lead to 1) a fast solution to select the best word embeddings among many others, 2) a new criterion that may improve the current state of static Euclidean word embeddings, and 3) a way to create a set of complementary datasets, i.e. each dataset quantifies a different aspect of word embeddings.- Anthology ID:
- 2020.lrec-1.589
- Volume:
- Proceedings of the Twelfth Language Resources and Evaluation Conference
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 4789–4797
- Language:
- English
- URL:
- https://aclanthology.org/2020.lrec-1.589
- DOI:
- Cite (ACL):
- François Torregrossa, Vincent Claveau, Nihel Kooli, Guillaume Gravier, and Robin Allesiardo. 2020. On the Correlation of Word Embedding Evaluation Metrics. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 4789–4797, Marseille, France. European Language Resources Association.
- Cite (Informal):
- On the Correlation of Word Embedding Evaluation Metrics (Torregrossa et al., LREC 2020)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2020.lrec-1.589.pdf