- embeddings, and that all
embeddings are monomorphisms.
Other typical requirements are: any
extremal monomorphism is an
embedding and
embeddings are
stable under...
-
Vector embedding,
representing concepts and
information by
reference to
similar concepts, in a multi-dimensional space.
Similar to word
embeddings but with...
- contextually-meaningful
embeddings such as ELMo and BERT have been developed.
Unlike static word
embeddings,
these embeddings are at the token-level,...
-
characters within an
embedding can
affect the
ordering of
characters outside.
Unicode 6.3
recognized that
directional embeddings usually have too strong...
-
alternative direction is to
aggregate word
embeddings, such as
those returned by Word2vec, into
sentence embeddings. The most
straightforward approach is to...
-
Image and
video embeddings enable tasks like
object recognition,
image retrieval, and
video summarization.
Recommendation systems:
Embeddings help capture...
- An
embedded system is a
specialized computer system—a
combination of a
computer processor,
computer memory, and input/output
peripheral devices—that has...
-
linkless and flat
embeddings are not the same, the
graphs that have
linkless embeddings are the same as the
graphs that have flat
embeddings. As
Sachs (1983)...
-
leverages both do****ent and word
embeddings to
estimate distributed representations of topics. top2vec
takes do****ent
embeddings learned from a doc2vec model...
-
rotation system.
Embeddings with the same
rotation system are
considered to be
equivalent and the
corresponding equivalence class of
embeddings is
called combinatorial...
