Spherical-Text-Embedding
Text embedding library
An implementation of spherical text embedding for learning dense vector representations from unstructured text data.
[NeurIPS 2019] Spherical Text Embedding
175 stars
6 watching
32 forks
Language: C
last commit: over 1 year ago document-embeddingssentence-embeddingsspherical-geometryunsupervised-learningword-embeddings
Related projects:
| Repository | Description | Stars |
|---|---|---|
 ynqa/wego | An open-source Go library for learning and manipulating vector representations of words | 476 |
 hassygo/charngram2vec | A repository providing a re-implementation of character n-gram embeddings for pre-training in natural language processing tasks | 23 |
 materialsintelligence/mat2vec | Unsupervised word embeddings capture latent knowledge from materials science literature | 624 |
 fursovia/geometric_embedding | An implementation of a non-parameterized approach for building sentence representations | 19 |
 danieldk/go2vec | A package for reading and analyzing word embeddings from the word2vec format in Go. | 56 |
 zhezhaoa/ngram2vec | A toolkit for learning high-quality word and text representations from ngram co-occurrence statistics | 848 |
 satwikkottur/visualword2vec | Learning word embeddings from abstract images to improve language understanding | 19 |
 seomoz/word2gauss | This implementation provides a way to represent words as multivariate Gaussian distributions, allowing scalable word embeddings. | 190 |
 nlprinceton/text_embedding | A utility class for generating and evaluating document representations using word embeddings. | 54 |
 dinghanshen/swem | Reproduces the results of an ACL 2018 paper on simple word-embedding-based models for natural language processing tasks. | 284 |
 mnqu/pte | An implementation of the Predictive Text Embedding model for learning word representations from large-scale heterogeneous text networks. | 96 |
 spatstat/s2 | An R package providing bindings to the Google s2 library for performing geometric computations on the sphere. | 30 |
 tca19/dict2vec | A framework to learn word embeddings using lexical dictionaries | 115 |
 raduionescu/vlawe-boswe | Software providing representations for text classification based on word embeddings and clustering | 10 |
 uhh-lt/sensegram | Tools and techniques for analyzing word meanings from word embeddings | 212 |