acl2017
Sentence embedding models
A codebase for training and using models of sentence embeddings.
Code to train and use models from "Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings"
33 stars
6 watching
3 forks
Language: Python
last commit: over 7 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
| jwieting/para-nmt-50m | A collection of pre-trained models and code for training paraphrastic sentence embeddings from large machine translation datasets. | 102 |
| jwieting/iclr2016 | Code for training universal paraphrastic sentence embeddings and models on semantic similarity tasks | 193 |
| jwieting/paragram-word | Trains word embeddings from a paraphrase database to represent semantic relationships between words. | 30 |
 binwang28/sbert-wk-sentence-embedding | A method to generate sentence embeddings from pre-trained language models | 177 |
| jwieting/charagram | A tool for training and using character n-gram based word and sentence embeddings in natural language processing. | 125 |
 xiaoqijiao/coling2018 | Provides training and testing code for a CNN-based sentence embedding model | 2 |
 auspicious3000/contentvec | An implementation of a self-supervised speech representation model using PyTorch and disentangled speaker embeddings | 467 |
 lajanugen/s2v | An implementation of a neural network model for learning efficient sentence representations from text data. | 205 |
 tca19/dict2vec | A framework to learn word embeddings using lexical dictionaries | 115 |
 malllabiisc/wordgcn | A deep learning model that generates word embeddings by predicting words based on their dependency context | 290 |
 ukplab/arxiv2018-xling-sentence-embeddings | Reproducible research on cross-lingual sentence embeddings using power mean word embeddings | 185 |
 commonsense/conceptnet-numberbatch | A pre-trained word embedding model informed by a large-scale knowledge graph, providing a nuanced representation of word meanings. | 1,295 |
 iarroyof/sentence_embedding | A method to convert word embeddings into sentence representations by applying entropy weights calculated from TFIDF transform. | 9 |
 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 |
 nlprinceton/text_embedding | A utility class for generating and evaluating document representations using word embeddings. | 54 |