jojonki / Pointer-NetworksLinks
Pointer Networks is a new neural architecture to learn the conditional probability of an output sequence with elements that are discrete tokens corresponding to positions in an input sequence.
☆74Updated 3 years ago
Alternatives and similar repositories for Pointer-Networks
Users that are interested in Pointer-Networks are comparing it to the libraries listed below
Sorting:
- Pointer NN differs from the previous attention attempts in that, instead of using attention to weight hidden units of an encoder, it uses…☆42Updated 4 years ago
- Pytorch implementation of Pointer Network☆334Updated 6 years ago
- Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"☆125Updated 3 years ago
- Implementation of Pointer Networks using PyTorch☆62Updated last year
- ☆30Updated 7 years ago
- Implementation of Stochastic Beam Search using Fairseq☆104Updated 6 years ago
- Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning☆151Updated 7 years ago
- ☆32Updated 6 years ago
- Pointer Networks Implementation in Keras☆155Updated 3 years ago
- Task-oriented Dialog Policy Learning with Multi-Agent Reinforcement Learning☆55Updated 5 years ago
- This is implementation of the paper 'Toward Diverse Text Generation with Inverse Reinforcement Learning' https://arxiv.org/abs/1804.11258…☆33Updated 6 years ago
- A simple Pytorch implementation of Gated Graph Neural Networks☆59Updated 6 years ago
- Learning Adversarial Networks for Semi-Supervised Text Classification via Policy Gradient☆25Updated 5 years ago
- ☆133Updated 6 years ago
- Reinforcement Learning for Neural Machine Translation☆190Updated 6 months ago
- An implementation of "Pointer Networks" in Tensorflow☆44Updated 8 years ago
- Deep Transfer Reinforcement Learning for Text Summarization☆42Updated 6 years ago
- This repository contains the code used for Ordered Memory paper☆30Updated 5 years ago
- Recursive Neural Network and Tree LSTM implementations in pyTorch for sentiment analysis☆60Updated 7 years ago
- PyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (…☆144Updated 6 years ago
- TensorFlow implementation of Pointer Networks, modified to use a threshold (or hardmax) pointer instead of a softmax pointer.☆40Updated 7 years ago
- Enhancing Sentence Embedding with Generalized Pooling☆11Updated 6 years ago
- This repository provides simulator codes for predicting and tracking popular discussion threads on Reddit☆21Updated 8 years ago
- This code repository presents the pytorch implementation of the paper “Implicit Deep Latent Variable Models for Text Generation”(EMNLP 20…☆55Updated 3 years ago
- LAnguage Modelling Benchmarks☆137Updated 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
- ☆121Updated 6 years ago
- Non-Monotonic Sequential Text Generation (ICML 2019)☆72Updated 6 years ago
- ☆114Updated 6 years ago
- Diagnostic benchmark suite to explicitly test logical relational reasoning on natural language☆94Updated last year