· 2014
Glove: Global Vectors for Word Representation
- 33,863citations
- 2014year
Short summary
A new global log-bilinear regression model, Glove, efficiently learns word vector representations by training on a word-word co-occurrence matrix, achieving 75% accuracy on a word analogy task.
AI-generated from the title and abstract; the full text is not read.
TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app
The rest is in the Pofolia app
Takeaways, key points and questions to the paper; new summaries every day for your field. Free.
Sign in on the web to openField: Artificial Intelligence
Artificial IntelligenceComputer Science