Cheneng / HiararchicalAttentionGRULinks
Hierarchical Attention Networks for Document Classification in PyTorch
☆36Updated 7 years ago
Alternatives and similar repositories for HiararchicalAttentionGRU
Users that are interested in HiararchicalAttentionGRU are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Sentiment Classification in Improved Semantic Representations From Tree-Structured Long Short-Term Memory Netwo…☆113Updated 7 years ago
- Tensorflow Implementation of Variational Attention for Sequence to Sequence Models (COLING 2018)☆71Updated 5 years ago
- Pytorch implementation of "Dynamic Coattention Networks For Question Answering"☆62Updated 7 years ago
- Implementation of Densely Connected Attention Propagation for Reading Comprehension (NIPS 2018)☆69Updated 6 years ago
- Code for "Graph-to-Sequence Learning using Gated Graph Neural Networks"☆123Updated 5 years ago
- Hierarchical Models for Sentiment Analysis in Pytorch☆107Updated 6 years ago
- Hierarchical Attention Transfer Network for Cross-domain Sentiment Classification (AAAI'18)☆85Updated 6 years ago
- Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications☆121Updated 5 years ago
- TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"☆87Updated 6 years ago
- Code for the paper: Sentence-State LSTM for Text Representation☆161Updated 7 years ago
- Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)☆78Updated 4 years ago
- A PyTorch implementation of a Bi-LSTM CRF with character-level features☆63Updated 6 years ago
- TensorFlow implementation of the paper `Adversarial Multi-task Learning for Text Classification`☆177Updated 6 years ago
- Official implementation of "Explicit Interaction Model towards Text Classification"☆70Updated 5 years ago
- ☆128Updated 7 years ago
- Visualization for simple attention and Google's multi-head attention.☆68Updated 7 years ago
- Code corresponding to our paper "A Graph-to-Sequence Model for AMR-to-Text Generation"☆137Updated 4 years ago
- Re-implement "QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension"☆120Updated 7 years ago
- Source code of the paper 'Integrating Semantic Knowledge to Tackle Zero-shot Text Classification. NAACL-HLT 2019. '☆49Updated 5 years ago
- Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)☆81Updated 6 years ago
- Implementation of End-to-End Memory Network in PyTorch☆106Updated 8 years ago
- Character-level Convolutional Neural Networks for text classification in PyTorch☆177Updated 3 years ago
- A generalized input-label embedding for text classification☆24Updated 6 years ago
- This is the code for "Learning Sentiment Memories for Sentiment Modification without Parallel Data".☆54Updated 6 years ago
- Code for "Strong Baselines for Neural Semi-supervised Learning under Domain Shift" (Ruder & Plank, 2018 ACL)☆61Updated 2 years ago
- Semi Supervised Learning for Text-Classification☆83Updated 6 years ago
- text convolution-deconvolution auto-encoder model in PyTorch☆55Updated 7 years ago
- Source Code for DialogWAE: Multimodal Response Generation with Conditional Wasserstein Autoencoder (https://arxiv.org/abs/1805.12352)☆126Updated 7 years ago
- PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)☆173Updated last year
- Multitask Learning for Machine Reading Comprehension, NAACL 2019☆102Updated 5 years ago