sungjinlees

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/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