… a low-dimensional embedding to be able to well represent a … is fully and exactly encoded
by the embedding. This fact was … embeddings represent two radically different representations …

… We show that derived dimensions of word embedding vector spaces correspond closely
to “… of word embedding models to represent cultural dimensions promotes a radical view of …

… Therefore, in addition to RGB representations, we use HSV representations to … The embedding
dimension m′ and GRU decoder dimension n are set to 256. The attention dimension n…

… In order to represent the associative words in concept set U = {w1,w2, ..., wλ} for subsequent
… -dimension real-value vector. Here, we apply an external well pre-trained embedding model …

… The first 260 dimensions represent different radicals, and the last 12 … radical embedding
with the impact factor of node-path has a 2.61% improvement than binary radical embedding. …

… lem, we set the vector dimension of each Chinese character, word, character-level … vectors,
we apply a well pre-trained word embedding model based on a large corpora3 to represent …

… approach of graph embeddings such as DeepWalk, we generate tuples representing paths
… using visualizations that illustrate how formulas are clustered in two-dimensional space. …

… This fast and simple method produces valid vector representations … will suppose those
embeddings are all of three dimensions (… In contrast, the vocabularies are radically different in the …

… We then use it to prove embedding theorems for Jacobson radical, nil, and primitive algebras.
In §6, we construct finitely generated nil algebras of arbitrary Gelfand-Kirillov dimension ≥ …

… The dimension of GRU units n and the dimension of embedding m are set to 256. The …
6, we selected some representative images to show the correction effect of ST in JSRAN. …