mbartoli / deep-simplificationLinks
Text simplification using RNNs
☆55Updated 9 years ago
Alternatives and similar repositories for deep-simplification
Users that are interested in deep-simplification are comparing it to the libraries listed below
Sorting:
- A convolutional neural network library for NLP.☆59Updated 7 years ago
- GloVe Word Embedding model's implementation in theano☆36Updated 8 years ago
- An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015☆74Updated 8 years ago
- Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)☆59Updated 8 years ago
- Keras solution to the bAbI tasks using recurrent neural networks - merged as an example into Keras mainline☆33Updated 9 years ago
- Non-distributional linguistic word vector representations.☆62Updated 7 years ago
- Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings☆53Updated 8 years ago
- various simple RNNs trained on synthetic grammars☆30Updated 9 years ago
- Word vectors☆64Updated 7 years ago
- Library to train parallel-aligned sequence data based on Keras☆51Updated 8 years ago
- Semantic Textual Similarity in Python☆81Updated 8 years ago
- This is a repository for machine translation with open license.☆24Updated 9 years ago
- Environment that can be used to evaluate reasoning capabilities of artificial agents☆28Updated 8 years ago
- A Python framework for exploring distributional semantic models.☆85Updated 9 years ago
- ☆23Updated 10 years ago
- Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors☆55Updated 7 years ago
- Molding CNNs for text (http://arxiv.org/abs/1508.04112)☆85Updated 9 years ago
- Torch implementation of the Collobert's SENNA system for NER.☆13Updated 9 years ago
- Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders☆22Updated 8 years ago
- Multi-Perspective Convolutional Neural Networks for modeling textual similarity (He et al., EMNLP 2015)☆106Updated 7 years ago
- Slides/code for the Lisbon machine learning school 2017☆28Updated 8 years ago
- A partial TensorFlow implementation of "Learning Efficient Algorithms with Hierarchical Attentive Memory"☆51Updated 9 years ago
- My solution for Kagge Allen AI Challenge ( 3rd place )☆19Updated 9 years ago
- Structured Neural Networks for NLP: From Idea to Code☆59Updated 8 years ago
- Learning to execute Python in Tensorflow and other Seq2seq examples☆42Updated 9 years ago
- Document context language models☆22Updated 9 years ago
- Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".☆124Updated 9 years ago
- Tokenize English sentences using neural networks.☆63Updated 7 years ago
- Deep Character-Level Neural Machine Translation☆71Updated 8 years ago
- Code for the blog post "Making Sense of Word2vec"☆113Updated 10 years ago