word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method

15 February 2014

Papers citing "word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method"

5 / 5 papers shown

Title
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding Thomas Dagès Simon Weber Ya-Wei Eileen Lin Ronen Talmon Daniel Cremers M. Lindenbaum A. Bruckstein Ron Kimmel 123 0 0 23 Mar 2025
Constructing a Norm for Children's Scientific Drawing: Distribution Features Based on Semantic Similarity of Large Language Models Yi Zhang Fan Wei Jiajian Li Y. X. R. Wang Yanyan Yu ... Z. Cai Xinyu Liu Wei Wang Peng Wang Ziyi Wang 76 0 0 24 Feb 2025
Adversarial Attacks on AI-Generated Text Detection Models: A Token Probability-Based Approach Using Embeddings Ahmed K. Kadhim Lei Jiao Rishad Shafik Ole-Christoffer Granmo DeLMO 126 0 0 31 Jan 2025
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 291 33,445 0 16 Oct 2013
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 545 31,406 0 16 Jan 2013