geduo15 / Very-Deep-Convolutional-Networks-for-Natural-Language-Processing-in-tensorflowLinks
implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow
☆55Updated 3 weeks ago
Alternatives and similar repositories for Very-Deep-Convolutional-Networks-for-Natural-Language-Processing-in-tensorflow
Users that are interested in Very-Deep-Convolutional-Networks-for-Natural-Language-Processing-in-tensorflow are comparing it to the libraries listed below
Sorting:
- Tensorflow implementation of Very Deep Convolutional Networks for Natural Language Processing☆79Updated 7 years ago
- A simple implementation of CNN based text classification in Pytorch☆65Updated 8 years ago
- Deep generative model for sentiment analysis☆34Updated 8 years ago
- A tensorflow implementation of Convolutional Neural Networks for Sentence Classification☆76Updated 8 years ago
- Implementation in Tensorflow of A Structured Self-attentive Sentence Embedding with the sentiment analysis task.☆66Updated 7 years ago
- A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970☆39Updated 9 years ago
- Source code for ``A Structured Self-Attentive Sentence Embedding'' published in ICLR 2017☆53Updated 6 years ago
- Molding CNNs for text (http://arxiv.org/abs/1508.04112)☆85Updated 9 years ago
- This is the code&dataset for the paper [Hierarchical Memory Networks for Answer Selection on Unknown Words. COLING 2016]☆44Updated 6 years ago
- Implementing , learning and re implementing "End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF" in keras☆71Updated 7 years ago
- ☆28Updated 9 years ago
- TensorFlow implementation of Hierarchical Attention Networks for Document Classification and some extension☆94Updated 8 years ago
- An attempt to implement the TreeLSTM in Theano☆44Updated 9 years ago
- Reading Comprehension Experiments repository.☆61Updated 8 years ago
- Attention models☆34Updated 9 years ago
- ICASSP2017: End-to-end joint learning of natural language understanding and dialogue manager☆74Updated 7 years ago
- End-to-end memory networks in TensorFlow☆33Updated 8 years ago
- ☆87Updated 8 years ago
- Implementation of Character-level Convolutional Networks for Text Classification in TensorFlow☆81Updated 8 years ago
- Tensorflow implementation of the Long-Short Term Memory Network with Deep Attention Fusion for the SNLI dataset.☆23Updated 9 years ago
- Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications☆64Updated 7 years ago
- Implementation of Hierarchical Attention Networks as presented in https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf☆57Updated 7 years ago
- implementation match mLstm in TensorFlow 1.0☆28Updated 8 years ago
- An implementation of the Globally Normalized Reader☆58Updated 2 years ago
- An implementation of LSTM with Recurrent Batch Normalization.☆19Updated 8 years ago
- ☆59Updated 9 years ago
- The training code for the EMNLP 2017 paper "Learning Generic Sentence Representations Using Convolutional Neural Networks"☆34Updated 7 years ago
- TensorFlow implementation of convolutional neural network for sentence classification tasks☆81Updated 8 years ago
- Top-down Tree LSTM (NAACL 2016) http://aclweb.org/anthology/N/N16/N16-1035.pdf☆83Updated 8 years ago
- This repo is for residual-connected sentence encoder for NLI.☆11Updated 7 years ago