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)

GitHub

153 stars
9 watching
34 forks
Language: Python
last commit: about 5 years ago
Linked from 1 awesome list

convolutional-neural-networkslstmmultilingualneural-networkpart-of-speech-taggerword-embeddings

Backlinks from these awesome lists:

Related 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. 1,463
malllabiisc/wordgcn A deep learning model that generates word embeddings by predicting words based on their dependency context 290
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 833
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 Improves word embeddings by considering internal character structures in Chinese words 299
auspicious3000/contentvec An implementation of a self-supervised speech representation model using PyTorch and disentangled speaker embeddings 468