Jianqiang / embedding-matching-word-segmenterLinks
Code for the ACL-2015 paper "Accurate Linear-Time Chinese Word Segmentation via Embedding Matching"
☆38Updated 9 years ago
Alternatives and similar repositories for embedding-matching-word-segmenter
Users that are interested in embedding-matching-word-segmenter are comparing it to the libraries listed below
Sorting:
- A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970☆39Updated 10 years ago
- ☆29Updated 10 years ago
- Question Answering Using Memory Networks (CS224D Project)☆47Updated 10 years ago
- collect the publications and related resources of Deep Learning in NLP☆116Updated 9 years ago
- Word Embedding Revisted: Explicit Matrix Factorization☆33Updated 7 years ago
- ☆70Updated 10 years ago
- Distributed LDA, takes raw text as input and outputs topic word table.☆16Updated 9 years ago
- Train a CRF for syntactic chunking (CoNLL2000), and use word representations☆43Updated 15 years ago
- The experiment software underlying two papers published at ECIR-2015 and SEMEVAL-2015.☆37Updated 10 years ago
- Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations (ACL2015)☆28Updated 10 years ago
- Notes, code, and other resoruces for auditing the course CS224d: Deep Learning for Natural Language Processing☆50Updated 10 years ago
- ☆87Updated 9 years ago
- An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015☆74Updated 8 years ago
- ☆35Updated 8 years ago
- Deep Character-Level Neural Machine Translation☆71Updated 8 years ago
- Finding document vectors from pre-trained word2vec word vectors☆116Updated 10 years ago
- RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano☆69Updated 6 years ago
- ☆23Updated 8 years ago
- Sequential convolutional architectures for text classification☆29Updated 9 years ago
- ☆58Updated 9 years ago
- An reimplementation of Microsoft DSSM☆12Updated 10 years ago
- Modify word2vec such that it's possible to "condition" on existing embeddings for some words, and induce embeddings for new words.☆40Updated 9 years ago
- Implementation of neural language models, in particular Collobert + Weston (2008) and a stochastic margin-based version of Mnih's LBL.☆177Updated 15 years ago
- Sentiment Analysis with Ensemble☆244Updated 9 years ago
- Code of NAACL paper "Unsupervised Multi-Domain Adaptation with Feature Embeddings"☆33Updated 10 years ago
- LibN3L: A light-weight neural network package for natural language☆82Updated 3 months ago
- CDSSM implementation in torch☆40Updated 9 years ago
- Online Interpretable Word Embeddings☆37Updated 9 years ago
- Code for the paper "Ask Me Any Rating: A Content-based Recommender System based on Recurrent Neural Networks"☆30Updated 8 years ago
- Learning to execute Python in Tensorflow and other Seq2seq examples☆42Updated 9 years ago