Mimick
Character-based embedder
A system for approximating word embeddings using character-level neural networks
Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)
153 stars
9 watching
34 forks
Language: Python
last commit: almost 7 years agoLinked from 1 awesome list
convolutional-neural-networkslstmmultilingualneural-networkpart-of-speech-taggerword-embeddings
separius/awesome-sentence-embeddingRelated projects:
| Repository | Description | Stars |
|---|---|---|
 giuseppemarra/char-word-embeddings | This repository provides an unsupervised approach to learning character-aware word and context embeddings. | 0 |
 hit-scir/elmoformanylangs | Provides pre-trained ELMo representations for multiple languages to improve NLP tasks. | 1,462 |
 malllabiisc/wordgcn | A deep learning model that generates word embeddings by predicting words based on their dependency context | 291 |
 nlprinceton/text_embedding | A utility class for generating and evaluating document representations using word embeddings. | 54 |
 jwieting/charagram | A tool for training and using character n-gram based word and sentence embeddings in natural language processing. | 125 |
 wangyuxinwhy/uniem | Develops unified sentence embedding models for NLP tasks | 840 |
 fanglanting/skip-gram-pytorch | A PyTorch implementation of the skip-gram model for learning word embeddings. | 188 |
 vzhong/embeddings | Provides fast and efficient word embeddings for natural language processing. | 223 |
 rguthrie3/morphologicalpriorsforwordembeddings | A project implementing a method to incorporate morphological information into word embeddings using a neural network model | 52 |
 lajanugen/s2v | An implementation of a neural network model for learning efficient sentence representations from text data. | 205 |
 gink03/alt-i2v | An implementation of a deep learning-based image representation learning approach using a modified fully connected layer and transfer learning from VGG16 | 34 |
 zsdonghao/imitation-learning-dagger-torcs | This repository provides an example of implementing Imitation Learning with Dataset Aggregation (DAGGER) on the Torcs environment using Python. | 71 |
 zhangxiann/skip-gram | A Python implementation of a neural network model for learning word embeddings from text data | 6 |
 leonard-xu/cwe | This project presents an approach to improve word embeddings by incorporating internal character information into Chinese words | 299 |
 auspicious3000/contentvec | An implementation of a self-supervised speech representation model using PyTorch and disentangled speaker embeddings | 471 |