Skip-gram
نموذج التخطي (Skip-gram)
نموذج تضمين كلمي يتنبأ بكلمات السياق المحيطة انطلاقاً من كلمة مركزية واحدة، فيتعلّم متجهات كثيفة تلتقط العلاقات الدلالية والنحوية بين الكلمات.
A word embedding model that predicts surrounding context words from a single center word, learning dense vectors that capture semantic and syntactic relationships between words.
Also translated asالغرام المتخطي، نموذج Skip-gram
First appears in this corpus in: Distributed Representations of Words and Phrases and Their Compositionality (2013)
Appears in these papers
- DeepWalk: Online Learning of Social Representations2014in the sky ✦
- DeepWalk: Online Learning of Social Representations2014in the sky ✦
- Enriching Word Vectors with Subword Information2017in the sky ✦
- GloVe: Global Vectors for Word Representation2014in the sky ✦
- GloVe: Global Vectors for Word Representation2014in the sky ✦
- node2vec: Scalable Feature Learning for Networks2016in the sky ✦
- node2vec: Scalable Feature Learning for Networks2016in the sky ✦
- Distributed Representations of Words and Phrases and Their Compositionality2013in the sky ✦