Pinned Repositories
A-DEEP-REINFORCED-MODEL-FOR-ABSTRACTIVE-SUMMARIZATION
Pytorch implementation for paper of "A DEEP REINFORCED MODEL FOR ABSTRACTIVE SUMMARIZATION". https://arxiv.org/abs/1705.04304
A-Hierarchical-Latent-Structure-for-Variational-Conversation-Modeling
PyTorch 0.4 Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" accepted in NAACL 2018 (Oral).
acl2018-semantic-parsing-tutorial
Materials from the ACL 2018 tutorial on neural semantic parsing
act-tensorflow
Adaptive Computation Time algorithm in Tensorflow
sungjinlees's Repositories
sungjinlees/adversarial-postspec
Auxiliary GAN for WE post-specialisation
sungjinlees/allennlp
An open-source NLP research library, built on PyTorch.
sungjinlees/ANIML
Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".
sungjinlees/awesome-sentence-embedding
A curated list of pretrained sentence(and word) embedding models
sungjinlees/BuboQA
Simple question answering over knowledge graphs (Mohammed et al., NAACL 2018)
sungjinlees/cakechat
CakeChat: Emotional Generative Dialog System
sungjinlees/ccm
This project is a tensorflow implement of our work, CCM.
sungjinlees/DC-NeuralConversation
OpenNMT based Neural Conversation model which implements Topic and Semantic Distributional Constraints to improve quality of generated responses
sungjinlees/decaNLP
The Natural Language Decathlon: A Multitask Challenge for NLP
sungjinlees/deep-learning-notes
Experiments with Deep Learning
sungjinlees/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
sungjinlees/dialogue-gan
Generative Adversarial Network to Develop Synthetic Dialogues
sungjinlees/e2e_dialog_challenge
End-To-End Task-Completion Dialogue Challenge
sungjinlees/finetune-transformer-lm
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
sungjinlees/GAM
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
sungjinlees/Imagination-Augmented-Agents
Building Agents with Imagination: pytorch step-by-step implementation
sungjinlees/Mem2Seq
Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems
sungjinlees/multi-domain-belief-tracking
The implementation of the model proposed in the Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing paper
sungjinlees/multiwoz
Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)
sungjinlees/ner-bert
BERT-NER (nert-bert) with google bert https://github.com/google-research.
sungjinlees/nlg-sclstm-multiwoz
sungjinlees/Practical_RL
A course in reinforcement learning in the wild
sungjinlees/pytorch-pretrained-BERT
A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
sungjinlees/rlkit
Collection of reinforcement learning algorithms
sungjinlees/SEDST
code for CIKM'18 long paper, Explicit state tracking with semi-supervision for neural dialogue generation
sungjinlees/Sentence-VAE
PyTorch Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
sungjinlees/Seq2Seq-Vis
Visualization for Sequential Neural Networks with Attention
sungjinlees/SeqGAN-PyTorch-2
Implementation of Sequence Generative Adversarial Nets with Policy Gradient in PyTorch
sungjinlees/soft-dtw
Python implementation of soft-DTW.
sungjinlees/voice_conversion