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
- Code for EMNLP 2018 paper "Commonsense for Generative Multi-Hop Question Answering Tasks"☆123Updated 6 years ago
- Implementation for NAACL-2019 paper☆71Updated 5 years ago
- Re-implement "QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension"☆120Updated 6 years ago
- Language-Adversarial Training for Cross-Lingual Text Classification (TACL)☆62Updated 4 years ago
- ☆39Updated 6 years ago
- ☆123Updated 2 years ago
- Pytorch Implementation of Dynamic Co-attention Networks(DCN+) for Question Answering on SQuAD2.0☆54Updated 7 years ago
- Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications☆121Updated 5 years ago
- Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension☆104Updated 6 years ago
- Implementation of Densely Connected Attention Propagation for Reading Comprehension (NIPS 2018)☆69Updated 6 years ago
- Code for the paper "multi-hop paragraph retrieval for open-domain question answering"☆36Updated 3 years ago
- Graph to sequence implemented in Pytorch combining Graph convolutional networks and opennmt-py☆152Updated 6 years ago
- ☆43Updated 7 years ago
- This is the repo for the paper "Revealing the Importance of Semantic Retrieval for Machine Reading at Scale".☆60Updated 5 years ago
- ☆94Updated 5 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
- Code for "Graph-to-Sequence Learning using Gated Graph Neural Networks"☆124Updated 4 years ago
- An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction☆38Updated 2 years ago
- A BERT-Based Machine Reading Comprehension Baseline☆63Updated 6 years ago
- ☆102Updated 4 years ago
- Source code for paper: "Learning Dual Retrieval Module for Semi-supervised Relation Extraction"☆35Updated 5 years ago
- Code corresponding to our paper "A Graph-to-Sequence Model for AMR-to-Text Generation"☆137Updated 4 years ago
- Knowledge-based Inference Model☆54Updated 3 years ago
- An original implementation of ACL 2019, "Compositional Questions Do Not Necessitate Multi-hop Reasoning" (Single-hop Reading Comprehensio…☆58Updated 6 years ago
- Hierarchical Attention Transfer Network for Cross-domain Sentiment Classification (AAAI'18)☆85Updated 6 years ago
- Pytorch implementation of Sentiment Classification in Improved Semantic Representations From Tree-Structured Long Short-Term Memory Netwo…☆113Updated 7 years ago
- Code for ACL 2019 paper: "Searching for Effective Neural Extractive Summarization: What Works and What's Next"☆91Updated 4 years ago
- Source code for paper "Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction" (EMNLP…☆39Updated 5 years ago
- ☆28Updated 6 years ago