zhongkaifu / Txt2Vec
Txt2Vec is a toolkit to represent text by vector. It's based on Google's word2vec project, but with some new features, such incremental training, model vector and so on.
☆68Updated 9 years ago
Alternatives and similar repositories for Txt2Vec:
Users that are interested in Txt2Vec are comparing it to the libraries listed below
- CRFSharp is Conditional Random Fields implemented by .NET(C#), a machine learning algorithm for learning from labeled sequences of exampl…☆121Updated 4 years ago
- RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling,…☆284Updated 4 years ago
- ☆70Updated 9 years ago
- A word2vec port for Windows.☆47Updated 7 years ago
- NLP tools on Lasagne☆61Updated 7 years ago
- Online Interpretable Word Embeddings☆37Updated 9 years ago
- Neural network library (LSTM) based off of RecurrentJs☆55Updated 5 years ago
- An extension of word2vec to efficiently represent new text as vectors. New text can be query, sentence and paragraph.☆67Updated 8 years ago
- Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".☆124Updated 8 years ago
- TensorFlow implementation of Hierarchical Attention Networks for Document Classification and some extension☆94Updated 7 years ago
- ACL2015_code_Gated Recursive Neural Network for Chinese Word Segmentation☆28Updated 9 years ago
- Transition-based dependency parser based on stack LSTMs☆204Updated 5 years ago
- Implementation of neural language models, in particular Collobert + Weston (2008) and a stochastic margin-based version of Mnih's LBL.☆177Updated 14 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 7 years ago
- Code for the ACL-2015 paper "Accurate Linear-Time Chinese Word Segmentation via Embedding Matching"☆38Updated 9 years ago
- Sentiment Analysis with Ensemble☆244Updated 8 years ago
- CDSSM implementation in torch☆40Updated 8 years ago
- ☆20Updated 6 years ago
- Train a CRF for syntactic chunking (CoNLL2000), and use word representations☆43Updated 15 years ago
- Modify word2vec such that it's possible to "condition" on existing embeddings for some words, and induce embeddings for new words.☆39Updated 8 years ago
- Code for the blog post "Making Sense of Word2vec"☆113Updated 10 years ago
- Deep Character-Level Neural Machine Translation☆71Updated 8 years ago
- End-To-End Memory Networks in Theano☆130Updated 2 years ago
- Distributed skipgram mixture model for multisense word embedding☆115Updated 8 years ago
- C# library for working with Word2Vec models☆23Updated 4 years ago
- ☆35Updated 7 years ago
- Word2Vec implementation in Torch☆60Updated 9 years ago
- ☆58Updated 8 years ago
- Document context language models☆22Updated 9 years ago
- SIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model☆36Updated 7 years ago