atulkum / co-attentionLinks
Pytorch implementation of "Dynamic Coattention Networks For Question Answering"
☆62Updated 6 years ago
Alternatives and similar repositories for co-attention
Users that are interested in co-attention are comparing it to the libraries listed below
Sorting:
- Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)☆78Updated 4 years ago
- Re-implement "QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension"☆120Updated 6 years ago
- Code for EMNLP 2018 paper "Commonsense for Generative Multi-Hop Question Answering Tasks"☆123Updated 6 years ago
- Graph to sequence implemented in Pytorch combining Graph convolutional networks and opennmt-py☆152Updated 6 years ago
- Source code for the ACL 2019 paper entitled "Domain Adaptive Dialog Generation via Meta Learning" by Kun Qian and Zhou Yu☆42Updated 5 years ago
- Implementation for NAACL-2019 paper☆71Updated 5 years ago
- ☆39Updated 6 years ago
- Implementation of Densely Connected Attention Propagation for Reading Comprehension (NIPS 2018)☆69Updated 6 years ago
- Visualization for simple attention and Google's multi-head attention.☆68Updated 7 years ago
- Code for "Graph-to-Sequence Learning using Gated Graph Neural Networks"☆124Updated 4 years ago
- Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications☆121Updated 5 years ago
- ☆43Updated 7 years ago
- ☆94Updated 5 years ago
- Pytorch Implementation of Dynamic Co-attention Networks(DCN+) for Question Answering on SQuAD2.0☆54Updated 7 years ago
- ☆123Updated 2 years ago
- Implementation of End-to-End Memory Network in PyTorch☆106Updated 8 years ago
- Code for Paper "Zero-shot User Intent Detection via Capsule Neural Networks".☆51Updated 6 years ago
- Code corresponding to our paper "A Graph-to-Sequence Model for AMR-to-Text Generation"☆137Updated 4 years ago
- Language-Adversarial Training for Cross-Lingual Text Classification (TACL)☆62Updated 4 years ago
- Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension☆104Updated 5 years ago
- Hierarchical Attention Transfer Network for Cross-domain Sentiment Classification (AAAI'18)☆85Updated 5 years ago
- A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling☆189Updated 4 years ago
- A BERT-Based Machine Reading Comprehension Baseline☆63Updated 6 years ago
- Code for the paper "multi-hop paragraph retrieval for open-domain question answering"☆36Updated 3 years ago
- ☆102Updated 4 years ago
- PyTorch implementation of our paper "Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing" (NAACL19)☆87Updated 6 years ago
- Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)☆81Updated 6 years ago
- Official implementation of "Explicit Interaction Model towards Text Classification"☆70Updated 5 years ago
- Source Code for DialogWAE: Multimodal Response Generation with Conditional Wasserstein Autoencoder (https://arxiv.org/abs/1805.12352)☆126Updated 6 years ago
- End-To-End Memory Networks in PyTorch☆38Updated 7 years ago