word2mat
Matrix Embedder
A framework for learning sentence embeddings from matrices
Code for ICLR 2019 paper 'CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model'
21 stars
1 watching
5 forks
Language: Python
last commit: over 5 years ago Related projects:
Repository | Description | Stars |
---|---|---|
| Develops unified sentence embedding models for NLP tasks | 840 |
| A codebase for training and using models of sentence embeddings. | 33 |
| Provides code and tools for learning joint text-video embeddings using the HowTo100M dataset | 254 |
| Code for training universal paraphrastic sentence embeddings and models on semantic similarity tasks | 193 |
| A framework to learn word embeddings using lexical dictionaries | 115 |
| A fast and efficient utility package for utilizing vector embeddings in machine learning models | 1,635 |
| An implementation of a non-parameterized approach for building sentence representations | 19 |
| A library for training and evaluating a type of word embedding model that extends the original Word2Vec algorithm | 20 |
| A method to convert word embeddings into sentence representations by applying entropy weights calculated from TFIDF transform. | 9 |
| Unsupervised word embeddings capture latent knowledge from materials science literature | 624 |
| Provides training and testing code for a CNN-based sentence embedding model | 2 |
| A deep learning model that generates word embeddings by predicting words based on their dependency context | 291 |
| A Python library for efficiently computing sentence embeddings from large datasets | 618 |
| A toolkit for learning high-quality word and text representations from ngram co-occurrence statistics | 848 |
| An implementation of a neural network model for learning efficient sentence representations from text data. | 205 |