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KAIST
- Seoul, South Korea
- https://jamesthorne.com
- @j6mes
Stars
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
My contribution for the FEVER 2021 Shared Task
Library for Knowledge Intensive Language Tasks
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Linguistically-Informed Self-Attention implemented in TensorFlow
System for Fact Extraction and Verification, for http://fever.ai FEVER shared task at EMNLP
Topic-Aware Convolutional Neural Networks for Extreme Summarization
One million English sentences, each split into two sentences that together preserve the original meaning, extracted from Wikipedia edits.
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
This repository provides the implementation for the paper "Combining Fact Extraction and Verification with Neural Semantic Matching Networks".
ProPara (Process Paragraph Comprehension) dataset and models
Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071
Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx
Implementation of Deep Dirichlet Multinomial Regression in python + cython.
Fact Extraction and VERification baseline published in NAACL2018
The WebSplit Benchmark introducing "Split and Rephrase" task
Reading Wikipedia to Answer Open-Domain Questions
Ensemble Classifier for fake news challenge 2017
A baseline implementation for FNC-1
Dirichlet Process Mixture Model sampling-based inference algorithms
lavab / web
Forked from vLooz/webAngularJS web client of Lavaboom's email service