This is PyTorch implementation of the Multi-Task Learning for Knowledge Graph Completion with Pre-trained Language Models.
The code repository contains the implementations of our method (ReBias) as well as prior de-biasing methods empirically compared in the paper.
This repository provides the official code of GDWCT, and it is written in PyTorch.
HANet is an add-on module for urban-scene segmentation to exploit the structural priors existing in urban-scene. It is effective and wide applicable!
Implements the model described in the following paper Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection.