kocmitom / LanideNNLinks
☆18Updated 4 years ago
Alternatives and similar repositories for LanideNN
Users that are interested in LanideNN are comparing it to the libraries listed below
Sorting:
- ☆26Updated 8 years ago
- In this project, we use skip-gram model to embed Wikipedia Concepts and Entities. The English version of Wikipedia contains more than fiv…☆57Updated 8 years ago
- Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings☆53Updated 9 years ago
- Non-distributional linguistic word vector representations.☆62Updated 8 years ago
- Fast Word Clustering Software☆79Updated 11 months ago
- Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors☆56Updated 8 years ago
- A convolutional neural network library for NLP.☆59Updated 8 years ago
- Library to train parallel-aligned sequence data based on Keras☆51Updated 8 years ago
- Text simplification using RNNs☆55Updated 9 years ago
- Slides/code for the Lisbon machine learning school 2017☆28Updated 8 years ago
- Document context language models☆22Updated 10 years ago
- Code needed to reproduce "Modeling documents with Generative Adversarial Networks"☆37Updated 8 years ago
- Word vectors☆64Updated 7 years ago
- An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015☆74Updated 8 years ago
- Standalone Semanticizer☆32Updated 10 years ago
- Tokenize English sentences using neural networks.☆63Updated 8 years ago
- A Python framework for exploring distributional semantic models.☆85Updated 10 years ago
- Scripts to explore and visualize distributional semantic models using graphs.☆24Updated 8 years ago
- GloVe Word Embedding model's implementation in theano☆36Updated 8 years ago
- A collection of documents and materials for the EMNLP-2015 Semantic Similarity tutorial☆30Updated 10 years ago
- Code for the blog post "Making Sense of Word2vec"☆113Updated 11 years ago
- ☆15Updated 7 years ago
- C++ library for modeling with Pitman-Yor processes☆34Updated 8 years ago
- Large-scale topic discovery with Sampled-MinHashing☆10Updated 6 years ago
- Semantic embeddings of entities☆66Updated 9 years ago
- Code base for representation learning of very short texts, such as tweets. By Cedric De Boom, IBCN, Ghent University, Belgium.☆34Updated 9 years ago
- Python code for training Paragram word embeddings. These achieve human-level performance on some word similiarty tasks including SimLex-9…☆30Updated 9 years ago
- Retrofit Word Vectors to a Sense Ontology to Derive Word Sense Vectors☆17Updated 10 years ago
- Normalizes lexically ill-formed text to its most likely clean text, e.g. "c u thr 2nite!" -> "see you there tonight!".☆63Updated 10 years ago
- A simple CNN implementation in Keras.☆30Updated 9 years ago