PTE
Text embedding model
An implementation of the Predictive Text Embedding model for learning word representations from large-scale heterogeneous text networks.
96 stars
6 watching
32 forks
Language: C++
last commit: almost 9 years agoLinked from 1 awesome list
chihming/awesome-network-embeddingRelated projects:
| Repository | Description | Stars |
|---|---|---|
 embeddings-benchmark/mteb | Provides tools and benchmarks for evaluating text embedding models | 2,021 |
 nlprinceton/text_embedding | A utility class for generating and evaluating document representations using word embeddings. | 54 |
 jwieting/acl2017 | A codebase for training and using models of sentence embeddings. | 33 |
 alexandres/lexvec | An implementation of a word embedding model that uses character n-grams and achieves state-of-the-art results in multiple NLP tasks | 803 |
 rguthrie3/morphologicalpriorsforwordembeddings | A project implementing a method to incorporate morphological information into word embeddings using a neural network model | 52 |
 cod3licious/conec | A library for training and evaluating a type of word embedding model that extends the original Word2Vec algorithm | 20 |
 artetxem/vecmap | An implementation of cross-lingual word embedding mappings using unsupervised learning methods | 648 |
 malllabiisc/wordgcn | A deep learning model that generates word embeddings by predicting words based on their dependency context | 291 |
 zhangxiann/skip-gram | A Python implementation of a neural network model for learning word embeddings from text data | 6 |
 largelymfs/topical_word_embeddings | A Python implementation of a topical word embedding technique used in natural language processing and information retrieval. | 314 |
 vefstathiou/so_word2vec | This is a word embedding model trained on Stack Overflow posts for use in natural language processing tasks. | 40 |
| jwieting/para-nmt-50m | A collection of pre-trained models and code for training paraphrastic sentence embeddings from large machine translation datasets. | 102 |
 dinghanshen/swem | Reproduces the results of an ACL 2018 paper on simple word-embedding-based models for natural language processing tasks. | 284 |
 tca19/dict2vec | A framework to learn word embeddings using lexical dictionaries | 115 |
 xiaoqijiao/coling2018 | Provides training and testing code for a CNN-based sentence embedding model | 2 |