Spherical-Text-Embedding
by yumeng5
[NeurIPS 2019] Spherical Text Embedding
AI summary
Text embedding library
An implementation of spherical text embedding for learning dense vector representations from unstructured text data.
- stars
- 175
- forks
- 32
- watching
- 6
Similar projects
Found by comparing what the projects do, not just their names.
ynqa/wego476
Word embeddings library
An open-source Go library for learning and manipulating vector representations of words
N-gram embeddings
A repository providing a re-implementation of character n-gram embeddings for pre-training in natural language processing tasks
Materials Embeddings
Unsupervised word embeddings capture latent knowledge from materials science literature
Sentence embedder
An implementation of a non-parameterized approach for building sentence representations
Word embedding library
A package for reading and analyzing word embeddings from the word2vec format in Go.
Ngram Embedder
A toolkit for learning high-quality word and text representations from ngram co-occurrence statistics
Image-based word embeddings
Learning word embeddings from abstract images to improve language understanding
Word embeddings library
This implementation provides a way to represent words as multivariate Gaussian distributions, allowing scalable word embeddings.
Text embedding toolkit
A utility class for generating and evaluating document representations using word embeddings.
NLP model reproducer
Reproduces the results of an ACL 2018 paper on simple word-embedding-based models for natural language processing tasks.
mnqu/pte96
Text embedding model
An implementation of the Predictive Text Embedding model for learning word representations from large-scale heterogeneous text networks.
Sphere geometry library
An R package providing bindings to the Google s2 library for performing geometric computations on the sphere.
Word embedding model
A framework to learn word embeddings using lexical dictionaries
Word embedding toolkit
Software providing representations for text classification based on word embeddings and clustering
Sense embedding analysis tools
Tools and techniques for analyzing word meanings from word embeddings
