jojonki / Pointer-Networks
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.
☆73Updated 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
- Implementation of Pointer Networks using PyTorch☆60Updated last year
- Pytorch implementation of Pointer Network☆326Updated 5 years ago
- Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning☆151Updated 6 years ago
- ☆29Updated 6 years ago
- Implementation of Stochastic Beam Search using Fairseq☆99Updated 5 years ago
- Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"☆124Updated 2 years ago
- The source code for "An Actor Critic Algorithm for Structured Prediction"☆167Updated 7 years ago
- Pointer NN differs from the previous attention attempts in that, instead of using attention to weight hidden units of an encoder, it uses…☆42Updated 3 years ago
- Pointer Networks Implementation in Keras☆153Updated 2 years ago
- PyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (…☆144Updated 5 years ago
- This is implementation of the paper 'Toward Diverse Text Generation with Inverse Reinforcement Learning' https://arxiv.org/abs/1804.11258…☆34Updated 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
- An implementation of "Pointer Networks" in Tensorflow☆45Updated 7 years ago
- ☆132Updated 6 years ago
- TensorFlow implementation of Pointer Networks☆204Updated 7 years ago
- Task-oriented Dialog Policy Learning with Multi-Agent Reinforcement Learning☆54Updated 4 years ago
- Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning☆26Updated 6 years ago
- Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sen…☆123Updated 2 years ago
- Recursive Neural Network and Tree LSTM implementations in pyTorch for sentiment analysis☆61Updated 7 years ago
- Reinforcement Learning for Relation Classification from Noisy Data(AAAI2018)☆134Updated 6 years ago
- This repository contains the code used for Ordered Memory paper☆29Updated 5 years ago
- Code for NIPS 2018 paper 'Frequency-Agnostic Word Representation'☆118Updated 5 years ago
- ☆82Updated 5 years ago
- Non-Monotonic Sequential Text Generation (ICML 2019)☆73Updated 5 years ago
- Implementation of End-to-End Memory Network in PyTorch☆106Updated 7 years ago
- Joint Relation Extraction with Hierarchical Reinforcement Learning☆235Updated 5 years ago
- Implementation of Dynamic memory networks plus in Pytorch☆126Updated 7 years ago
- TensorFlow implementation of "Pointer Networks"☆471Updated 7 years ago
- Deep Transfer Reinforcement Learning for Text Summarization☆43Updated 6 years ago
- Reinforcement Learning for Neural Machine Translation☆187Updated 3 weeks ago